Overview

Brought to you by YData

Dataset statistics

Number of variables154
Number of observations16
Missing cells0
Missing cells (%)0.0%
Total size in memory19.4 KiB
Average record size in memory1.2 KiB

Variable types

Text3
Numeric151

Alerts

Rating has constant value "AA" Constant
FundaIndxint has unique values Unique
FundaIndxsga has unique values Unique
monthvwretd has unique values Unique
monthvwretx has unique values Unique
monthewretd has unique values Unique
monthewretx has unique values Unique
monthsprtrn has unique values Unique
monthspindx has unique values Unique
monthCAP1RET has unique values Unique
monthCAP2RET has unique values Unique
monthCAP3RET has unique values Unique
monthCAP4RET has unique values Unique
monthCAP5RET has unique values Unique
monthCAP6RET has unique values Unique
monthCAP7RET has unique values Unique
monthCAP8RET has unique values Unique
monthCAP9RET has unique values Unique
monthCAP10RET has unique values Unique
monthtotval has unique values Unique
monthtotcnt has unique values Unique
monthusdval has unique values Unique
monthusdcnt has unique values Unique
monthprtcnt has unique values Unique
monthtotret has unique values Unique
monthtotind has unique values Unique
monthcapret has unique values Unique
monthcapind has unique values Unique
monthincret has unique values Unique
monthincind has unique values Unique
SPIndvwretd has unique values Unique
SPIndvwretx has unique values Unique
SPIndewretd has unique values Unique
SPIndewretx has unique values Unique
SPIndtotval has unique values Unique
SPIndtotcnt has unique values Unique
SPIndusdval has unique values Unique
SPIndusdcnt has unique values Unique
SPIndspindx has unique values Unique
SPIndsprtrn has unique values Unique
SPporvwretd has unique values Unique
SPporvwretx has unique values Unique
SPporewretd has unique values Unique
SPporewretx has unique values Unique
SPportotval has unique values Unique
SPportotcnt has unique values Unique
SPporusdval has unique values Unique
SPporusdcnt has unique values Unique
SPporspindx has unique values Unique
SPporsprtrn has unique values Unique
usind2CRSPMEV1 has unique values Unique
usind2CRSPMEG1 has unique values Unique
usind2CRSPLCV1 has unique values Unique
usind2CRSPLCG1 has unique values Unique
usind2CRSPMIV1 has unique values Unique
usind2CRSPMIG1 has unique values Unique
usind2CRSPSCV1 has unique values Unique
usind2CRSPSCG1 has unique values Unique
usind2CRSPMEVT has unique values Unique
usind2CRSPMEGT has unique values Unique
usind2CRSPLCVT has unique values Unique
usind2CRSPLCGT has unique values Unique
usind2CRSPMIVT has unique values Unique
usind2CRSPMIGT has unique values Unique
usind2CRSPSCVT has unique values Unique
usind2CRSPSCGT has unique values Unique
stockvwretd has unique values Unique
stockvwretx has unique values Unique
stockvwTotVal has unique values Unique
stockvwUsdVal has unique values Unique
stockvwTotCnt has unique values Unique
stockvwUsdCnt has unique values Unique
stockewretd has unique values Unique
stockewretx has unique values Unique
stockewTotVal has unique values Unique
stockewUsdVal has unique values Unique
stockewTotCnt has unique values Unique
stockewUsdCnt has unique values Unique
stocksprtrn has unique values Unique
ustreb30ret has unique values Unique
ustreb30ind has unique values Unique
ustreb20ret has unique values Unique
ustreb20ind has unique values Unique
ustreb10ret has unique values Unique
ustreb10ind has unique values Unique
ustreb7ret has unique values Unique
ustreb7ind has unique values Unique
ustreb5ret has unique values Unique
ustreb5ind has unique values Unique
ustreb2ret has unique values Unique
ustreb2ind has unique values Unique
ustreb1ret has unique values Unique
ustreb1ind has unique values Unique
ustret90ret has unique values Unique
ustret90ind has unique values Unique
ustret30ret has unique values Unique
ustret30ind has unique values Unique
ustrecpiret has unique values Unique
ajexm has unique values Unique
ajpm has unique values Unique
cshtrm has unique values Unique
prccm has unique values Unique
prchm has unique values Unique
prclm has unique values Unique
trfm has unique values Unique
trt1m has unique values Unique
index_y has unique values Unique
CAPEI has unique values Unique
bm has unique values Unique
evm has unique values Unique
pe_op_basic has unique values Unique
pe_op_dil has unique values Unique
pe_exi has unique values Unique
pe_inc has unique values Unique
ps has unique values Unique
pcf has unique values Unique
npm has unique values Unique
opmbd has unique values Unique
opmad has unique values Unique
gpm has unique values Unique
ptpm has unique values Unique
cfm has unique values Unique
roa has unique values Unique
roe has unique values Unique
roce has unique values Unique
aftret_eq has unique values Unique
aftret_invcapx has unique values Unique
aftret_equity has unique values Unique
GProf has unique values Unique
equity_invcap has unique values Unique
debt_invcap has unique values Unique
totdebt_invcap has unique values Unique
capital_ratio has unique values Unique
cash_lt has unique values Unique
debt_at has unique values Unique
debt_ebitda has unique values Unique
lt_debt has unique values Unique
cash_debt has unique values Unique
lt_ppent has unique values Unique
dltt_be has unique values Unique
debt_assets has unique values Unique
debt_capital has unique values Unique
de_ratio has unique values Unique
at_turn has unique values Unique
rect_turn has unique values Unique
pay_turn has unique values Unique
sale_invcap has unique values Unique
sale_equity has unique values Unique
rd_sale has unique values Unique
adv_sale has unique values Unique
staff_sale has unique values Unique
accrual has unique values Unique

Reproduction

Analysis started2025-03-30 05:25:10.272574
Analysis finished2025-03-30 05:25:12.828997
Duration2.56 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Distinct3
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size256.0 B
2025-03-30T10:55:12.972352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.875
Min length3

Characters and Unicode

Total characters78
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMoody's
2nd rowMoody's
3rd rowFitch
4th rowFitch
5th rowFitch
ValueCountFrequency (%)
fitch 7
43.8%
s&p 5
31.2%
moody's 4
25.0%
2025-03-30T10:55:13.809305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 8
10.3%
F 7
9.0%
t 7
9.0%
c 7
9.0%
h 7
9.0%
i 7
9.0%
S 5
 
6.4%
& 5
 
6.4%
P 5
 
6.4%
M 4
 
5.1%
Other values (4) 16
20.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 8
10.3%
F 7
9.0%
t 7
9.0%
c 7
9.0%
h 7
9.0%
i 7
9.0%
S 5
 
6.4%
& 5
 
6.4%
P 5
 
6.4%
M 4
 
5.1%
Other values (4) 16
20.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 8
10.3%
F 7
9.0%
t 7
9.0%
c 7
9.0%
h 7
9.0%
i 7
9.0%
S 5
 
6.4%
& 5
 
6.4%
P 5
 
6.4%
M 4
 
5.1%
Other values (4) 16
20.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 8
10.3%
F 7
9.0%
t 7
9.0%
c 7
9.0%
h 7
9.0%
i 7
9.0%
S 5
 
6.4%
& 5
 
6.4%
P 5
 
6.4%
M 4
 
5.1%
Other values (4) 16
20.5%

Rating
Text

Constant 

Distinct1
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size256.0 B
2025-03-30T10:55:14.023749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters32
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAA
2nd rowAA
3rd rowAA
4th rowAA
5th rowAA
ValueCountFrequency (%)
aa 16
100.0%
2025-03-30T10:55:14.635329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 32
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 32
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 32
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 32
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 32
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 32
100.0%

FundaIndxint
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09626839708
Minimum-1.691818256
Maximum3.061095214
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:55:14.993813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.691818256
5-th percentile-1.233105217
Q1-0.7331560635
median-0.3387135912
Q30.7044160969
95-th percentile2.013101146
Maximum3.061095214
Range4.752913471
Interquartile range (IQR)1.43757216

Descriptive statistics

Standard deviation1.211881539
Coefficient of variation (CV)12.58857087
Kurtosis0.9289990974
Mean0.09626839708
Median Absolute Deviation (MAD)0.7082998169
Skewness0.9591374825
Sum1.540294353
Variance1.468656864
MonotonicityNot monotonic
2025-03-30T10:55:15.845276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.343168212 1
 
6.2%
-0.7345476499 1
 
6.2%
0.6342402963 1
 
6.2%
3.061095214 1
 
6.2%
0.720387242 1
 
6.2%
0.3363987638 1
 
6.2%
-0.6093733759 1
 
6.2%
-0.813521097 1
 
6.2%
-0.2680183518 1
 
6.2%
-1.08020087 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.691818256 1
6.2%
-1.08020087 1
6.2%
-0.813521097 1
6.2%
-0.7345476499 1
6.2%
-0.7326922013 1
6.2%
ValueCountFrequency (%)
3.061095214 1
6.2%
1.663769789 1
6.2%
1.343168212 1
6.2%
0.720387242 1
6.2%
0.6990923819 1
6.2%

FundaIndxsga
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5904520385
Minimum-0.5058800532
Maximum1.951280086
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:55:16.226361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.5058800532
5-th percentile-0.5055517187
Q1-0.09869028678
median0.5112801595
Q30.9365074397
95-th percentile1.937976994
Maximum1.951280086
Range2.457160139
Interquartile range (IQR)1.035197726

Descriptive statistics

Standard deviation0.8115680848
Coefficient of variation (CV)1.374486041
Kurtosis-0.7104277502
Mean0.5904520385
Median Absolute Deviation (MAD)0.6185820998
Skewness0.415064788
Sum9.447232615
Variance0.6586427563
MonotonicityNot monotonic
2025-03-30T10:55:16.650333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.933542629 1
 
6.2%
0.4138748373 1
 
6.2%
1.172435782 1
 
6.2%
0.531400011 1
 
6.2%
1.808956829 1
 
6.2%
1.951280086 1
 
6.2%
-0.09007863318 1
 
6.2%
-0.5058800532 1
 
6.2%
0.4945998919 1
 
6.2%
0.527960427 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-0.5058800532 1
6.2%
-0.5054422738 1
6.2%
-0.3173687853 1
6.2%
-0.1245252476 1
6.2%
-0.09007863318 1
6.2%
ValueCountFrequency (%)
1.951280086 1
6.2%
1.933542629 1
6.2%
1.808956829 1
6.2%
1.172435782 1
6.2%
0.8578646588 1
6.2%

monthvwretd
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06994753616
Minimum-1.89674722
Maximum2.341975203
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:17.048330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.89674722
5-th percentile-1.610117938
Q1-0.4929850924
median0.1703324412
Q30.3381695606
95-th percentile2.019141006
Maximum2.341975203
Range4.238722423
Interquartile range (IQR)0.831154653

Descriptive statistics

Standard deviation1.074029184
Coefficient of variation (CV)15.35478221
Kurtosis0.8085904389
Mean0.06994753616
Median Absolute Deviation (MAD)0.6170359147
Skewness0.3683854463
Sum1.119160579
Variance1.153538687
MonotonicityNot monotonic
2025-03-30T10:55:17.430677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.89674722 1
 
6.2%
0.5990933258 1
 
6.2%
-0.4719197413 1
 
6.2%
0.2172064779 1
 
6.2%
-0.5561811458 1
 
6.2%
-1.514574844 1
 
6.2%
0.7802751644 1
 
6.2%
0.1510799622 1
 
6.2%
0.1895849202 1
 
6.2%
-0.01377795527 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.89674722 1
6.2%
-1.514574844 1
6.2%
-0.6492472783 1
6.2%
-0.5561811458 1
6.2%
-0.4719197413 1
6.2%
ValueCountFrequency (%)
2.341975203 1
6.2%
1.911529607 1
6.2%
0.7802751644 1
6.2%
0.5990933258 1
6.2%
0.2511949722 1
6.2%

monthvwretx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08097402731
Minimum-1.659091588
Maximum1.780729438
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:17.785443image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.659091588
5-th percentile-1.38304995
Q1-0.4489036624
median0.07678617198
Q30.6592892019
95-th percentile1.229166954
Maximum1.780729438
Range3.439821027
Interquartile range (IQR)1.108192864

Descriptive statistics

Standard deviation0.8761861103
Coefficient of variation (CV)10.8205821
Kurtosis0.175793332
Mean0.08097402731
Median Absolute Deviation (MAD)0.5771512712
Skewness-0.2036631418
Sum1.295584437
Variance0.7677020998
MonotonicityNot monotonic
2025-03-30T10:55:18.152139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.4677795462 1
 
6.2%
0.01506438158 1
 
6.2%
-0.5032374857 1
 
6.2%
1.045312793 1
 
6.2%
-0.07676390903 1
 
6.2%
1.780729438 1
 
6.2%
0.4718269913 1
 
6.2%
0.6510650567 1
 
6.2%
-1.659091588 1
 
6.2%
-1.291036071 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.659091588 1
6.2%
-1.291036071 1
6.2%
-0.6240167289 1
6.2%
-0.5032374857 1
6.2%
-0.4307923879 1
6.2%
ValueCountFrequency (%)
1.780729438 1
6.2%
1.045312793 1
6.2%
0.8397474379 1
6.2%
0.6839616375 1
6.2%
0.6510650567 1
6.2%

monthewretd
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6302711891
Minimum-0.4424323749
Maximum2.276651626
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:55:18.575926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.4424323749
5-th percentile-0.4295990193
Q1-0.2540369025
median0.5438474078
Q31.138128707
95-th percentile2.068650811
Maximum2.276651626
Range2.719084001
Interquartile range (IQR)1.39216561

Descriptive statistics

Standard deviation0.8907478119
Coefficient of variation (CV)1.413277058
Kurtosis-0.8317762292
Mean0.6302711891
Median Absolute Deviation (MAD)0.8045534619
Skewness0.4830686399
Sum10.08433903
Variance0.7934316644
MonotonicityNot monotonic
2025-03-30T10:55:18.976938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.4424323749 1
 
6.2%
0.4587101716 1
 
6.2%
-0.2740443572 1
 
6.2%
0.6081138912 1
 
6.2%
0.8249001861 1
 
6.2%
0.4795809244 1
 
6.2%
-0.3521247203 1
 
6.2%
-0.4253212342 1
 
6.2%
1.84094307 1
 
6.2%
0.67580873 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-0.4424323749 1
6.2%
-0.4253212342 1
6.2%
-0.3521247203 1
6.2%
-0.2740443572 1
6.2%
-0.2473677509 1
6.2%
ValueCountFrequency (%)
2.276651626 1
6.2%
1.999317206 1
6.2%
1.84094307 1
6.2%
1.397164428 1
6.2%
1.051783467 1
6.2%

monthewretx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4777492564
Minimum-1.433708572
Maximum2.57137236
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:55:19.355989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.433708572
5-th percentile-1.141798203
Q1-0.3518892166
median0.6856899365
Q31.275425098
95-th percentile1.741885407
Maximum2.57137236
Range4.005080932
Interquartile range (IQR)1.627314315

Descriptive statistics

Standard deviation1.090973648
Coefficient of variation (CV)2.283569536
Kurtosis-0.5163772625
Mean0.4777492564
Median Absolute Deviation (MAD)0.6625353665
Skewness-0.1208091975
Sum7.643988103
Variance1.1902235
MonotonicityNot monotonic
2025-03-30T10:55:19.789342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.349704627 1
 
6.2%
-0.3296173418 1
 
6.2%
-1.433708572 1
 
6.2%
1.465389756 1
 
6.2%
1.16650083 1
 
6.2%
2.57137236 1
 
6.2%
0.1432154525 1
 
6.2%
0.9782929821 1
 
6.2%
0.6233994389 1
 
6.2%
-0.9005328852 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.433708572 1
6.2%
-1.044494746 1
6.2%
-0.9005328852 1
6.2%
-0.4187048408 1
6.2%
-0.3296173418 1
6.2%
ValueCountFrequency (%)
2.57137236 1
6.2%
1.465389756 1
6.2%
1.349704627 1
6.2%
1.346745979 1
6.2%
1.251651471 1
6.2%

monthsprtrn
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08169692277
Minimum-2.712490492
Maximum1.354845172
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:55:20.226645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.712490492
5-th percentile-2.242035856
Q1-0.5666409951
median0.05432945267
Q31.056024658
95-th percentile1.312344574
Maximum1.354845172
Range4.067335664
Interquartile range (IQR)1.622665653

Descriptive statistics

Standard deviation1.26366697
Coefficient of variation (CV)-15.46774257
Kurtosis-0.2839841835
Mean-0.08169692277
Median Absolute Deviation (MAD)1.029077233
Skewness-0.7614695339
Sum-1.307150764
Variance1.596854212
MonotonicityNot monotonic
2025-03-30T10:55:20.637884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.5410018726 1
 
6.2%
0.1329361852 1
 
6.2%
-0.04980863183 1
 
6.2%
-1.119114928 1
 
6.2%
-1.719541007 1
 
6.2%
1.284533034 1
 
6.2%
1.354845172 1
 
6.2%
1.02864263 1
 
6.2%
-0.3824830175 1
 
6.2%
-0.2794990658 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.712490492 1
6.2%
-2.085217644 1
6.2%
-1.719541007 1
6.2%
-1.119114928 1
6.2%
-0.3824830175 1
6.2%
ValueCountFrequency (%)
1.354845172 1
6.2%
1.298177708 1
6.2%
1.284533034 1
6.2%
1.13817074 1
6.2%
1.02864263 1
6.2%

monthspindx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006900110887
Minimum-1.708767639
Maximum2.016887544
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:21.059906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.708767639
5-th percentile-1.552069593
Q1-0.5043317601
median0.06990847914
Q30.5475147452
95-th percentile1.356675465
Maximum2.016887544
Range3.725655183
Interquartile range (IQR)1.051846505

Descriptive statistics

Standard deviation0.9308628864
Coefficient of variation (CV)134.9054967
Kurtosis0.6173315273
Mean0.006900110887
Median Absolute Deviation (MAD)0.5354649315
Skewness0.08994990251
Sum0.1104017742
Variance0.8665057132
MonotonicityNot monotonic
2025-03-30T10:55:21.469116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.09654526354 1
 
6.2%
-1.499836911 1
 
6.2%
0.1086688311 1
 
6.2%
-1.708767639 1
 
6.2%
-0.003012603184 1
 
6.2%
0.04327169474 1
 
6.2%
0.5446674443 1
 
6.2%
2.016887544 1
 
6.2%
0.6379732702 1
 
6.2%
-0.4741455811 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.708767639 1
6.2%
-1.499836911 1
6.2%
-0.6954216299 1
6.2%
-0.5948902971 1
6.2%
-0.4741455811 1
6.2%
ValueCountFrequency (%)
2.016887544 1
6.2%
1.136604772 1
6.2%
0.6379732702 1
6.2%
0.5560566478 1
6.2%
0.5446674443 1
6.2%

monthCAP1RET
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1288688419
Minimum-1.472508378
Maximum1.498564839
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:55:21.860296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.472508378
5-th percentile-1.374083098
Q1-0.5353969742
median-0.2178287799
Q30.4922340073
95-th percentile1.141997113
Maximum1.498564839
Range2.971073217
Interquartile range (IQR)1.027630982

Descriptive statistics

Standard deviation0.8249627357
Coefficient of variation (CV)-6.401568629
Kurtosis-0.3009950584
Mean-0.1288688419
Median Absolute Deviation (MAD)0.5773806819
Skewness0.1846414605
Sum-2.061901471
Variance0.6805635152
MonotonicityNot monotonic
2025-03-30T10:55:22.255540image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.3702094228 1
 
6.2%
0.02330760089 1
 
6.2%
-0.1616257455 1
 
6.2%
-1.341274671 1
 
6.2%
0.6061650906 1
 
6.2%
-1.472508378 1
 
6.2%
1.023141205 1
 
6.2%
0.09158573869 1
 
6.2%
-1.107319513 1
 
6.2%
-0.2740318142 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.472508378 1
6.2%
-1.341274671 1
6.2%
-1.107319513 1
6.2%
-0.6724894731 1
6.2%
-0.4896994745 1
6.2%
ValueCountFrequency (%)
1.498564839 1
6.2%
1.023141205 1
6.2%
0.6061650906 1
6.2%
0.5221203573 1
6.2%
0.4822718907 1
6.2%

monthCAP2RET
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4465943071
Minimum-2.324679272
Maximum1.404543374
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:55:22.659882image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.324679272
5-th percentile-2.196579252
Q1-1.615601687
median-0.2816216395
Q30.3666858919
95-th percentile1.183080995
Maximum1.404543374
Range3.729222646
Interquartile range (IQR)1.982287579

Descriptive statistics

Standard deviation1.195450146
Coefficient of variation (CV)-2.676814566
Kurtosis-1.184472624
Mean-0.4465943071
Median Absolute Deviation (MAD)1.047235053
Skewness-0.1370104872
Sum-7.145508914
Variance1.429101052
MonotonicityNot monotonic
2025-03-30T10:55:23.085932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.2306409103 1
 
6.2%
-2.324679272 1
 
6.2%
-0.8938676495 1
 
6.2%
-0.1395054755 1
 
6.2%
-1.64577653 1
 
6.2%
0.5877629853 1
 
6.2%
1.404543374 1
 
6.2%
-1.605543407 1
 
6.2%
-2.153879245 1
 
6.2%
-0.1612084686 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.324679272 1
6.2%
-2.153879245 1
6.2%
-1.850940358 1
6.2%
-1.64577653 1
6.2%
-1.605543407 1
6.2%
ValueCountFrequency (%)
1.404543374 1
6.2%
1.109260202 1
6.2%
0.9434638419 1
6.2%
0.5877629853 1
6.2%
0.2929935275 1
6.2%

monthCAP3RET
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1707258632
Minimum-2.276912698
Maximum2.468052182
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:23.502069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.276912698
5-th percentile-1.792853791
Q1-0.434505751
median0.09825226107
Q30.8818209071
95-th percentile2.153897238
Maximum2.468052182
Range4.74496488
Interquartile range (IQR)1.316326658

Descriptive statistics

Standard deviation1.305156772
Coefficient of variation (CV)7.644751342
Kurtosis-0.3364331281
Mean0.1707258632
Median Absolute Deviation (MAD)0.7908151147
Skewness-0.06714633709
Sum2.731613812
Variance1.7034342
MonotonicityNot monotonic
2025-03-30T10:55:23.892393image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.303031641 1
 
6.2%
-0.03470332003 1
 
6.2%
1.269177183 1
 
6.2%
0.6977371281 1
 
6.2%
0.03302704297 1
 
6.2%
2.049178923 1
 
6.2%
-0.8289280809 1
 
6.2%
0.1634774792 1
 
6.2%
1.55867991 1
 
6.2%
0.3948257444 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.276912698 1
6.2%
-1.631500821 1
6.2%
-1.326420687 1
6.2%
-0.8289280809 1
6.2%
-0.303031641 1
6.2%
ValueCountFrequency (%)
2.468052182 1
6.2%
2.049178923 1
6.2%
1.55867991 1
6.2%
1.269177183 1
6.2%
0.7527021486 1
6.2%

monthCAP4RET
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.336823332
Minimum-2.468542916
Maximum1.521172138
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:55:24.271780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.468542916
5-th percentile-1.825269071
Q1-1.11508506
median-0.2814544316
Q30.3052809841
95-th percentile0.9902654669
Maximum1.521172138
Range3.989715054
Interquartile range (IQR)1.420366044

Descriptive statistics

Standard deviation1.022723548
Coefficient of variation (CV)-3.03637976
Kurtosis0.0008478683999
Mean-0.336823332
Median Absolute Deviation (MAD)0.8534322357
Skewness-0.23123535
Sum-5.389173312
Variance1.045963455
MonotonicityNot monotonic
2025-03-30T10:55:24.693457image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.1961675456 1
 
6.2%
-0.6018872112 1
 
6.2%
-1.095283452 1
 
6.2%
0.7329751793 1
 
6.2%
-0.1890814692 1
 
6.2%
0.8132965766 1
 
6.2%
-1.238162775 1
 
6.2%
0.02485233824 1
 
6.2%
-1.174489882 1
 
6.2%
-1.610844456 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.468542916 1
6.2%
-1.610844456 1
6.2%
-1.238162775 1
6.2%
-1.174489882 1
6.2%
-1.095283452 1
6.2%
ValueCountFrequency (%)
1.521172138 1
6.2%
0.8132965766 1
6.2%
0.7329751793 1
6.2%
0.6326212998 1
6.2%
0.1961675456 1
6.2%

monthCAP5RET
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005248724887
Minimum-2.173821256
Maximum1.205926808
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:55:25.131726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.173821256
5-th percentile-1.301400879
Q1-0.4565469439
median0.01349793051
Q30.6917207092
95-th percentile1.071097413
Maximum1.205926808
Range3.379748064
Interquartile range (IQR)1.148267653

Descriptive statistics

Standard deviation0.8879630696
Coefficient of variation (CV)-169.1769123
Kurtosis0.8423758257
Mean-0.005248724887
Median Absolute Deviation (MAD)0.6802404495
Skewness-0.8472060646
Sum-0.08397959818
Variance0.7884784129
MonotonicityNot monotonic
2025-03-30T10:55:25.522116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.8770787694 1
 
6.2%
0.6735651432 1
 
6.2%
0.3803585304 1
 
6.2%
-2.173821256 1
 
6.2%
-0.07485338593 1
 
6.2%
-0.6869157558 1
 
6.2%
0.442806381 1
 
6.2%
1.205926808 1
 
6.2%
1.026154281 1
 
6.2%
-0.37975734 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.173821256 1
6.2%
-1.010594087 1
6.2%
-0.8613837024 1
6.2%
-0.6869157558 1
6.2%
-0.37975734 1
6.2%
ValueCountFrequency (%)
1.205926808 1
6.2%
1.026154281 1
6.2%
0.8770787694 1
6.2%
0.7461874073 1
6.2%
0.6735651432 1
6.2%

monthCAP6RET
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1873314609
Minimum-1.180782063
Maximum1.729891155
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:55:25.901957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.180782063
5-th percentile-0.8069434881
Q1-0.418120524
median0.2683084194
Q30.4386135852
95-th percentile1.54753314
Maximum1.729891155
Range2.910673217
Interquartile range (IQR)0.8567341092

Descriptive statistics

Standard deviation0.7969315939
Coefficient of variation (CV)4.254125761
Kurtosis-0.1513425941
Mean0.1873314609
Median Absolute Deviation (MAD)0.5240414418
Skewness0.3868955788
Sum2.997303375
Variance0.6350999653
MonotonicityNot monotonic
2025-03-30T10:55:26.292320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.1469987822 1
 
6.2%
-0.3644672625 1
 
6.2%
1.729891155 1
 
6.2%
0.3001921626 1
 
6.2%
-0.6823306299 1
 
6.2%
0.3388651571 1
 
6.2%
0.4331205347 1
 
6.2%
1.187044112 1
 
6.2%
1.486747136 1
 
6.2%
0.2364246763 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.180782063 1
6.2%
-0.6823306299 1
6.2%
-0.5834123559 1
6.2%
-0.5790803085 1
6.2%
-0.3644672625 1
6.2%
ValueCountFrequency (%)
1.729891155 1
6.2%
1.486747136 1
6.2%
1.187044112 1
6.2%
0.4550927369 1
6.2%
0.4331205347 1
6.2%

monthCAP7RET
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2469175381
Minimum-1.51613582
Maximum2.355580259
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:26.674729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.51613582
5-th percentile-1.300634269
Q1-0.1953814528
median0.1229335768
Q30.6697602637
95-th percentile1.810887567
Maximum2.355580259
Range3.871716079
Interquartile range (IQR)0.8651417165

Descriptive statistics

Standard deviation1.020824854
Coefficient of variation (CV)4.134274389
Kurtosis0.168473674
Mean0.2469175381
Median Absolute Deviation (MAD)0.5075665304
Skewness0.3321009513
Sum3.950680609
Variance1.042083383
MonotonicityNot monotonic
2025-03-30T10:55:27.109414image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0999055439 1
 
6.2%
0.1459616097 1
 
6.2%
0.7284699125 1
 
6.2%
-0.1743750304 1
 
6.2%
-0.01831685944 1
 
6.2%
-0.2584007202 1
 
6.2%
-0.1044813464 1
 
6.2%
2.355580259 1
 
6.2%
0.6108098338 1
 
6.2%
1.629323337 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.51613582 1
6.2%
-1.228800419 1
6.2%
-0.7614621654 1
6.2%
-0.2584007202 1
6.2%
-0.1743750304 1
6.2%
ValueCountFrequency (%)
2.355580259 1
6.2%
1.629323337 1
6.2%
1.582593965 1
6.2%
0.7284699125 1
6.2%
0.6501903807 1
6.2%

monthCAP8RET
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2201307822
Minimum-0.5424680667
Maximum1.0032132
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:27.539825image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.5424680667
5-th percentile-0.4783957686
Q1-0.3060357233
median0.346755272
Q30.6431191463
95-th percentile0.8936222977
Maximum1.0032132
Range1.545681266
Interquartile range (IQR)0.9491548696

Descriptive statistics

Standard deviation0.5311480211
Coefficient of variation (CV)2.412874818
Kurtosis-1.630763548
Mean0.2201307822
Median Absolute Deviation (MAD)0.4726903821
Skewness-0.09979909305
Sum3.522092516
Variance0.2821182204
MonotonicityNot monotonic
2025-03-30T10:55:27.974519image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.7817993113 1
 
6.2%
0.5676867509 1
 
6.2%
0.3401177064 1
 
6.2%
-0.5424680667 1
 
6.2%
-0.041015421 1
 
6.2%
-0.4570383359 1
 
6.2%
0.857091997 1
 
6.2%
-0.1689007803 1
 
6.2%
0.6086388299 1
 
6.2%
0.5134954769 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-0.5424680667 1
6.2%
-0.4570383359 1
6.2%
-0.3803760542 1
6.2%
-0.378086101 1
6.2%
-0.2820189308 1
6.2%
ValueCountFrequency (%)
1.0032132 1
6.2%
0.857091997 1
6.2%
0.7817993113 1
6.2%
0.7465600957 1
6.2%
0.6086388299 1
6.2%

monthCAP9RET
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2657887719
Minimum-1.44113262
Maximum2.484467369
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:28.395629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.44113262
5-th percentile-1.20060015
Q1-0.5410628501
median0.2211361837
Q30.9175482962
95-th percentile1.886096232
Maximum2.484467369
Range3.925599988
Interquartile range (IQR)1.458611146

Descriptive statistics

Standard deviation1.092463473
Coefficient of variation (CV)4.110269464
Kurtosis-0.4631842654
Mean0.2657887719
Median Absolute Deviation (MAD)0.7970105427
Skewness0.3173241356
Sum4.25262035
Variance1.19347644
MonotonicityNot monotonic
2025-03-30T10:55:28.817284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.12042266 1
 
6.2%
-0.1099377154 1
 
6.2%
1.432170144 1
 
6.2%
-0.2715244755 1
 
6.2%
1.109054048 1
 
6.2%
2.484467369 1
 
6.2%
-0.4849670375 1
 
6.2%
0.7754454708 1
 
6.2%
-1.44113262 1
 
6.2%
0.8537130457 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.44113262 1
6.2%
-1.12042266 1
6.2%
-0.9289799543 1
6.2%
-0.7093502879 1
6.2%
-0.4849670375 1
6.2%
ValueCountFrequency (%)
2.484467369 1
6.2%
1.686639186 1
6.2%
1.432170144 1
6.2%
1.109054048 1
6.2%
0.8537130457 1
6.2%

monthCAP10RET
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02182734017
Minimum-2.349528307
Maximum2.632924437
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:29.238867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.349528307
5-th percentile-1.94853686
Q1-1.06797976
median0.2758567557
Q30.9956797687
95-th percentile2.110523086
Maximum2.632924437
Range4.982452744
Interquartile range (IQR)2.063659529

Descriptive statistics

Standard deviation1.463031208
Coefficient of variation (CV)67.02746171
Kurtosis-0.9630372452
Mean0.02182734017
Median Absolute Deviation (MAD)1.151061699
Skewness0.03994583141
Sum0.3492374427
Variance2.140460314
MonotonicityNot monotonic
2025-03-30T10:55:29.638833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.4487805186 1
 
6.2%
-1.029634682 1
 
6.2%
-2.349528307 1
 
6.2%
0.3344992018 1
 
6.2%
1.326342198 1
 
6.2%
-0.8620498814 1
 
6.2%
2.632924437 1
 
6.2%
-1.805605473 1
 
6.2%
-0.6765051214 1
 
6.2%
0.8487665026 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.349528307 1
6.2%
-1.814873044 1
6.2%
-1.805605473 1
6.2%
-1.183014993 1
6.2%
-1.029634682 1
6.2%
ValueCountFrequency (%)
2.632924437 1
6.2%
1.936389303 1
6.2%
1.440073517 1
6.2%
1.326342198 1
6.2%
0.8854589589 1
6.2%

monthtotval
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2087030212
Minimum-1.382866977
Maximum1.72590777
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:30.012691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.382866977
5-th percentile-0.8690170818
Q1-0.3737341533
median0.2004644359
Q30.6570113093
95-th percentile1.599300848
Maximum1.72590777
Range3.108774748
Interquartile range (IQR)1.030745463

Descriptive statistics

Standard deviation0.8378401864
Coefficient of variation (CV)4.014509141
Kurtosis-0.2303981508
Mean0.2087030212
Median Absolute Deviation (MAD)0.5800374361
Skewness0.1313298149
Sum3.339248339
Variance0.7019761779
MonotonicityNot monotonic
2025-03-30T10:55:30.395044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.2116409775 1
 
6.2%
1.72590777 1
 
6.2%
-0.6137968768 1
 
6.2%
0.1892878942 1
 
6.2%
0.4859622829 1
 
6.2%
0.4264958189 1
 
6.2%
-0.4692734048 1
 
6.2%
-0.6977337833 1
 
6.2%
-0.3418877362 1
 
6.2%
-1.382866977 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.382866977 1
6.2%
-0.6977337833 1
6.2%
-0.6137968768 1
6.2%
-0.4692734048 1
6.2%
-0.3418877362 1
6.2%
ValueCountFrequency (%)
1.72590777 1
6.2%
1.557098541 1
6.2%
1.069608262 1
6.2%
0.8181871361 1
6.2%
0.6032860337 1
6.2%

monthtotcnt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07763051726
Minimum-1.696179068
Maximum1.417043821
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:55:30.778132image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.696179068
5-th percentile-1.343906334
Q1-0.8582288603
median-0.2464756745
Q30.8585128599
95-th percentile1.216328532
Maximum1.417043821
Range3.113222889
Interquartile range (IQR)1.71674172

Descriptive statistics

Standard deviation0.9723159757
Coefficient of variation (CV)-12.52491945
Kurtosis-1.307277217
Mean-0.07763051726
Median Absolute Deviation (MAD)0.8551367166
Skewness0.0271792234
Sum-1.242088276
Variance0.9453983566
MonotonicityNot monotonic
2025-03-30T10:55:31.158594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.8311698858 1
 
6.2%
1.417043821 1
 
6.2%
1.149423436 1
 
6.2%
0.5731320527 1
 
6.2%
-0.1644164405 1
 
6.2%
0.9140219592 1
 
6.2%
-1.696179068 1
 
6.2%
-0.3285349085 1
 
6.2%
-0.3360739862 1
 
6.2%
-0.6916175698 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.696179068 1
6.2%
-1.22648209 1
6.2%
-1.137141381 1
6.2%
-0.9394057838 1
6.2%
-0.8311698858 1
6.2%
ValueCountFrequency (%)
1.417043821 1
6.2%
1.149423436 1
6.2%
1.035583288 1
6.2%
0.9140219592 1
6.2%
0.8400098267 1
6.2%

monthusdval
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0502366426
Minimum-1.824440887
Maximum2.28894749
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:55:31.578761image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.824440887
5-th percentile-1.623682731
Q1-0.7668800678
median-0.01452748854
Q30.5594543169
95-th percentile1.399584902
Maximum2.28894749
Range4.113388376
Interquartile range (IQR)1.326334385

Descriptive statistics

Standard deviation1.031439074
Coefficient of variation (CV)-20.53160842
Kurtosis0.6060517982
Mean-0.0502366426
Median Absolute Deviation (MAD)0.6576356519
Skewness0.3087317806
Sum-0.8037862816
Variance1.063866564
MonotonicityNot monotonic
2025-03-30T10:55:31.968389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2.28894749 1
 
6.2%
-1.556763346 1
 
6.2%
0.301619248 1
 
6.2%
0.6879669521 1
 
6.2%
0.5982493746 1
 
6.2%
-0.09223420463 1
 
6.2%
-1.057471192 1
 
6.2%
-0.7498114072 1
 
6.2%
-0.2205724675 1
 
6.2%
0.546522631 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.824440887 1
6.2%
-1.556763346 1
6.2%
-1.057471192 1
6.2%
-0.8180860496 1
6.2%
-0.7498114072 1
6.2%
ValueCountFrequency (%)
2.28894749 1
6.2%
1.103130706 1
6.2%
0.6879669521 1
6.2%
0.5982493746 1
6.2%
0.546522631 1
6.2%

monthusdcnt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2405970696
Minimum-1.489150117
Maximum2.422405539
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:55:32.358150image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.489150117
5-th percentile-1.166771995
Q1-0.1671461308
median0.2222227275
Q30.7195141357
95-th percentile1.461450933
Maximum2.422405539
Range3.911555656
Interquartile range (IQR)0.8866602664

Descriptive statistics

Standard deviation0.9310223875
Coefficient of variation (CV)3.869633114
Kurtosis1.196399664
Mean0.2405970696
Median Absolute Deviation (MAD)0.4510478673
Skewness0.2645285473
Sum3.849553113
Variance0.8668026861
MonotonicityNot monotonic
2025-03-30T10:55:32.786562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2.422405539 1
 
6.2%
0.857774607 1
 
6.2%
-0.8664206114 1
 
6.2%
0.6456154742 1
 
6.2%
-0.1625261281 1
 
6.2%
0.7752793963 1
 
6.2%
0.1445945033 1
 
6.2%
0.4914750637 1
 
6.2%
-1.059312621 1
 
6.2%
-0.1810061387 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.489150117 1
6.2%
-1.059312621 1
6.2%
-0.8664206114 1
6.2%
-0.1810061387 1
6.2%
-0.1625261281 1
6.2%
ValueCountFrequency (%)
2.422405539 1
6.2%
1.141132732 1
6.2%
0.857774607 1
6.2%
0.7752793963 1
6.2%
0.7009257154 1
6.2%

monthprtcnt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1704063056
Minimum-1.478147088
Maximum2.155332748
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:55:33.223763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.478147088
5-th percentile-1.379608579
Q1-0.6000248988
median0.03780091228
Q30.7683272621
95-th percentile2.000336405
Maximum2.155332748
Range3.633479836
Interquartile range (IQR)1.368352161

Descriptive statistics

Standard deviation1.121610158
Coefficient of variation (CV)6.581975671
Kurtosis-0.7360778787
Mean0.1704063056
Median Absolute Deviation (MAD)0.7800051251
Skewness0.2774921415
Sum2.72650089
Variance1.258009346
MonotonicityNot monotonic
2025-03-30T10:55:33.630293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.3881702577 1
 
6.2%
0.03872702037 1
 
6.2%
-1.346762409 1
 
6.2%
0.3744806464 1
 
6.2%
0.03687480419 1
 
6.2%
1.948670958 1
 
6.2%
2.155332748 1
 
6.2%
-0.9775621255 1
 
6.2%
1.430346599 1
 
6.2%
-0.1628795775 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.478147088 1
6.2%
-1.346762409 1
6.2%
-1.117669927 1
6.2%
-0.9775621255 1
6.2%
-0.4741791566 1
6.2%
ValueCountFrequency (%)
2.155332748 1
6.2%
1.948670958 1
6.2%
1.430346599 1
6.2%
1.325964674 1
6.2%
0.5824481247 1
6.2%

monthtotret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01868789357
Minimum-2.409474321
Maximum2.236299621
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:34.068268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.409474321
5-th percentile-1.979499429
Q1-0.3276102044
median0.04772660984
Q30.5475944875
95-th percentile1.674870182
Maximum2.236299621
Range4.645773942
Interquartile range (IQR)0.8752046919

Descriptive statistics

Standard deviation1.142618796
Coefficient of variation (CV)61.14219305
Kurtosis0.8310490827
Mean0.01868789357
Median Absolute Deviation (MAD)0.500998601
Skewness-0.3384229823
Sum0.2990062971
Variance1.305577713
MonotonicityNot monotonic
2025-03-30T10:55:34.467514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.9789240069 1
 
6.2%
-1.006513293 1
 
6.2%
1.487727036 1
 
6.2%
0.08528131797 1
 
6.2%
0.5464637641 1
 
6.2%
0.2843244495 1
 
6.2%
-0.2128082615 1
 
6.2%
-0.0373738598 1
 
6.2%
-1.836174464 1
 
6.2%
-2.409474321 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.409474321 1
6.2%
-1.836174464 1
6.2%
-1.006513293 1
6.2%
-0.5097301552 1
6.2%
-0.2669035542 1
6.2%
ValueCountFrequency (%)
2.236299621 1
6.2%
1.487727036 1
6.2%
0.9789240069 1
6.2%
0.5509866576 1
6.2%
0.5464637641 1
6.2%

monthtotind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08936361626
Minimum-1.338159069
Maximum2.7501072
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:55:34.841878image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.338159069
5-th percentile-1.299290377
Q1-0.8476283632
median0.02875296536
Q30.5723203928
95-th percentile1.677422303
Maximum2.7501072
Range4.088266268
Interquartile range (IQR)1.419948756

Descriptive statistics

Standard deviation1.113089004
Coefficient of variation (CV)12.45572919
Kurtosis0.6363131311
Mean0.08936361626
Median Absolute Deviation (MAD)0.8307031221
Skewness0.7192718954
Sum1.42981786
Variance1.23896713
MonotonicityNot monotonic
2025-03-30T10:55:35.247360image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.3259113127 1
 
6.2%
-0.01048497686 1
 
6.2%
-1.338159069 1
 
6.2%
-0.08719864876 1
 
6.2%
0.4636665717 1
 
6.2%
-0.7631243883 1
 
6.2%
1.206551936 1
 
6.2%
2.7501072 1
 
6.2%
-1.12965023 1
 
6.2%
-1.101140288 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.338159069 1
6.2%
-1.286334147 1
6.2%
-1.12965023 1
6.2%
-1.101140288 1
6.2%
-0.7631243883 1
6.2%
ValueCountFrequency (%)
2.7501072 1
6.2%
1.319860671 1
6.2%
1.206551936 1
6.2%
0.898281856 1
6.2%
0.4636665717 1
6.2%

monthcapret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1085962975
Minimum-1.38818471
Maximum2.449459799
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:55:35.669896image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.38818471
5-th percentile-1.22927362
Q1-0.4304399656
median-0.1447039921
Q30.8113673071
95-th percentile1.731378352
Maximum2.449459799
Range3.837644509
Interquartile range (IQR)1.241807273

Descriptive statistics

Standard deviation1.037777853
Coefficient of variation (CV)9.556291295
Kurtosis0.1972700474
Mean0.1085962975
Median Absolute Deviation (MAD)0.6358420038
Skewness0.6935221263
Sum1.737540761
Variance1.076982872
MonotonicityNot monotonic
2025-03-30T10:55:36.074130image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2.449459799 1
 
6.2%
-1.176303257 1
 
6.2%
-0.295918421 1
 
6.2%
1.099377388 1
 
6.2%
1.113360506 1
 
6.2%
-0.3010361101 1
 
6.2%
0.006510436801 1
 
6.2%
0.7153639468 1
 
6.2%
-0.3549374514 1
 
6.2%
0.05407681985 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.38818471 1
6.2%
-1.176303257 1
6.2%
-1.01302951 1
6.2%
-0.5343130023 1
6.2%
-0.3958156201 1
6.2%
ValueCountFrequency (%)
2.449459799 1
6.2%
1.492017869 1
6.2%
1.113360506 1
6.2%
1.099377388 1
6.2%
0.7153639468 1
6.2%

monthcapind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.176856918
Minimum-1.852327099
Maximum1.365817753
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:55:36.488845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.852327099
5-th percentile-1.478791816
Q1-0.5515795042
median-0.07838587767
Q30.38393236
95-th percentile0.8440294682
Maximum1.365817753
Range3.218144852
Interquartile range (IQR)0.9355118642

Descriptive statistics

Standard deviation0.8535255898
Coefficient of variation (CV)-4.826079745
Kurtosis-0.247467538
Mean-0.176856918
Median Absolute Deviation (MAD)0.5154396723
Skewness-0.3215035516
Sum-2.829710688
Variance0.7285059324
MonotonicityNot monotonic
2025-03-30T10:55:36.902118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.5432966641 1
 
6.2%
-1.217923627 1
 
6.2%
-1.354280054 1
 
6.2%
-1.003112016 1
 
6.2%
0.2867298391 1
 
6.2%
0.629914862 1
 
6.2%
0.01654939891 1
 
6.2%
-0.3520556077 1
 
6.2%
-0.3931211892 1
 
6.2%
0.3308109253 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.852327099 1
6.2%
-1.354280054 1
6.2%
-1.217923627 1
6.2%
-1.003112016 1
6.2%
-0.4010686669 1
6.2%
ValueCountFrequency (%)
1.365817753 1
6.2%
0.6701000401 1
6.2%
0.629914862 1
6.2%
0.5432966641 1
6.2%
0.3308109253 1
6.2%

monthincret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2983409169
Minimum-1.6734848
Maximum1.078003373
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:55:37.309856image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.6734848
5-th percentile-1.403582559
Q1-0.9329957649
median-0.4346915574
Q30.3833856412
95-th percentile0.7954945966
Maximum1.078003373
Range2.751488172
Interquartile range (IQR)1.316381406

Descriptive statistics

Standard deviation0.8156215256
Coefficient of variation (CV)-2.733857407
Kurtosis-1.05927812
Mean-0.2983409169
Median Absolute Deviation (MAD)0.7161020925
Skewness0.1023198327
Sum-4.773454671
Variance0.665238473
MonotonicityNot monotonic
2025-03-30T10:55:37.676586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.7013250046 1
 
6.2%
-1.127097452 1
 
6.2%
0.3051067332 1
 
6.2%
-0.9096010762 1
 
6.2%
-0.4537416128 1
 
6.2%
-0.4321237093 1
 
6.2%
-1.6734848 1
 
6.2%
-0.6566847901 1
 
6.2%
-1.003179831 1
 
6.2%
1.078003373 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.6734848 1
6.2%
-1.313615146 1
6.2%
-1.127097452 1
6.2%
-1.003179831 1
6.2%
-0.9096010762 1
6.2%
ValueCountFrequency (%)
1.078003373 1
6.2%
0.7013250046 1
6.2%
0.6491201401 1
6.2%
0.5753388641 1
6.2%
0.3194012336 1
6.2%

monthincind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1274257828
Minimum-2.049123886
Maximum1.642276058
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:55:38.058823image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.049123886
5-th percentile-1.048918586
Q1-0.1513800246
median0.1719838175
Q30.4152875278
95-th percentile1.454977955
Maximum1.642276058
Range3.691399944
Interquartile range (IQR)0.5666675524

Descriptive statistics

Standard deviation0.8251332863
Coefficient of variation (CV)6.475402923
Kurtosis2.935738918
Mean0.1274257828
Median Absolute Deviation (MAD)0.2763291138
Skewness-0.7254398386
Sum2.038812524
Variance0.6808449401
MonotonicityNot monotonic
2025-03-30T10:55:38.471128image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.04308300802 1
 
6.2%
-0.2565509806 1
 
6.2%
1.392545254 1
 
6.2%
-2.049123886 1
 
6.2%
-0.7155168193 1
 
6.2%
0.02332950865 1
 
6.2%
0.6445062753 1
 
6.2%
0.3058720551 1
 
6.2%
0.1466412843 1
 
6.2%
0.1973263506 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.049123886 1
6.2%
-0.7155168193 1
6.2%
-0.2718203033 1
6.2%
-0.2565509806 1
6.2%
-0.1163230393 1
6.2%
ValueCountFrequency (%)
1.642276058 1
6.2%
1.392545254 1
6.2%
0.6445062753 1
6.2%
0.4363351884 1
6.2%
0.4082716409 1
6.2%

SPIndvwretd
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01903444052
Minimum-1.721972964
Maximum1.578783577
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:55:38.865915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.721972964
5-th percentile-1.221811122
Q1-0.6656744417
median0.1642949065
Q30.4022733062
95-th percentile1.454031445
Maximum1.578783577
Range3.300756541
Interquartile range (IQR)1.067947748

Descriptive statistics

Standard deviation0.9169991814
Coefficient of variation (CV)48.17578853
Kurtosis-0.3878102111
Mean0.01903444052
Median Absolute Deviation (MAD)0.5825866383
Skewness-0.07321234346
Sum0.3045510483
Variance0.8408874987
MonotonicityNot monotonic
2025-03-30T10:55:39.256671image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.002810515686 1
 
6.2%
1.578783577 1
 
6.2%
-1.721972964 1
 
6.2%
0.3623184587 1
 
6.2%
0.2029921129 1
 
6.2%
-0.9634775377 1
 
6.2%
0.1868043925 1
 
6.2%
-1.055090508 1
 
6.2%
-0.2701767207 1
 
6.2%
-0.566406743 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.721972964 1
6.2%
-1.055090508 1
6.2%
-0.9681082883 1
6.2%
-0.9634775377 1
6.2%
-0.566406743 1
6.2%
ValueCountFrequency (%)
1.578783577 1
6.2%
1.412447402 1
6.2%
1.079113304 1
6.2%
0.5195463298 1
6.2%
0.3631822983 1
6.2%

SPIndvwretx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04728502677
Minimum-2.953075101
Maximum2.49681784
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:55:39.669433image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.953075101
5-th percentile-1.892335418
Q1-0.7374151142
median0.3212160585
Q30.5398128938
95-th percentile2.185156682
Maximum2.49681784
Range5.449892941
Interquartile range (IQR)1.277228008

Descriptive statistics

Standard deviation1.313539398
Coefficient of variation (CV)27.77918272
Kurtosis1.107983008
Mean0.04728502677
Median Absolute Deviation (MAD)0.3586184084
Skewness-0.3392135583
Sum0.7565604283
Variance1.725385751
MonotonicityNot monotonic
2025-03-30T10:55:40.097816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.2803919711 1
 
6.2%
0.3620401459 1
 
6.2%
0.4678267252 1
 
6.2%
2.081269629 1
 
6.2%
-2.953075101 1
 
6.2%
-0.8661955987 1
 
6.2%
0.6617894547 1
 
6.2%
0.6378481065 1
 
6.2%
2.49681784 1
 
6.2%
-0.05544736211 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.953075101 1
6.2%
-1.538755524 1
6.2%
-1.15216938 1
6.2%
-0.8661955987 1
6.2%
-0.694488286 1
6.2%
ValueCountFrequency (%)
2.49681784 1
6.2%
2.081269629 1
6.2%
0.6617894547 1
6.2%
0.6378481065 1
6.2%
0.5071344895 1
6.2%

SPIndewretd
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1766422644
Minimum-1.996276265
Maximum1.513344502
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:55:40.488007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.996276265
5-th percentile-1.854010046
Q1-0.8448627403
median-0.07639278513
Q30.4099737834
95-th percentile1.48947297
Maximum1.513344502
Range3.509620767
Interquartile range (IQR)1.254836524

Descriptive statistics

Standard deviation1.074812657
Coefficient of variation (CV)-6.084685679
Kurtosis-0.7477010319
Mean-0.1766422644
Median Absolute Deviation (MAD)0.8071145287
Skewness0.04947529641
Sum-2.826276231
Variance1.155222247
MonotonicityNot monotonic
2025-03-30T10:55:40.940914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.132282755 1
 
6.2%
-0.06241153914 1
 
6.2%
-0.09037403112 1
 
6.2%
0.9773185161 1
 
6.2%
-1.996276265 1
 
6.2%
-0.6352274665 1
 
6.2%
-1.806587972 1
 
6.2%
0.1955091502 1
 
6.2%
-0.9607964608 1
 
6.2%
-0.04476030761 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.996276265 1
6.2%
-1.806587972 1
6.2%
-1.132282755 1
6.2%
-0.9607964608 1
6.2%
-0.8062181668 1
6.2%
ValueCountFrequency (%)
1.513344502 1
6.2%
1.481515793 1
6.2%
1.089421924 1
6.2%
0.9773185161 1
6.2%
0.2208588725 1
6.2%

SPIndewretx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3719229853
Minimum-2.064885462
Maximum2.361611444
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)68.8%
Memory size256.0 B
2025-03-30T10:55:41.389035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.064885462
5-th percentile-1.978144828
Q1-1.408849289
median-0.306829071
Q30.3197146972
95-th percentile1.482821151
Maximum2.361611444
Range4.426496906
Interquartile range (IQR)1.728563986

Descriptive statistics

Standard deviation1.255050292
Coefficient of variation (CV)-3.374489723
Kurtosis-0.1853779146
Mean-0.3719229853
Median Absolute Deviation (MAD)1.139086542
Skewness0.5676165781
Sum-5.950767765
Variance1.575151235
MonotonicityNot monotonic
2025-03-30T10:55:41.776090image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.2698405407 1
 
6.2%
-0.2893644251 1
 
6.2%
-0.3242937168 1
 
6.2%
0.9339451661 1
 
6.2%
2.361611444 1
 
6.2%
-1.54616212 1
 
6.2%
1.189891054 1
 
6.2%
-1.600403562 1
 
6.2%
-0.2646147034 1
 
6.2%
-1.363078345 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.064885462 1
6.2%
-1.949231283 1
6.2%
-1.600403562 1
6.2%
-1.54616212 1
6.2%
-1.363078345 1
6.2%
ValueCountFrequency (%)
2.361611444 1
6.2%
1.189891054 1
6.2%
0.9339451661 1
6.2%
0.9150947396 1
6.2%
0.1212546831 1
6.2%

SPIndtotval
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03549675257
Minimum-1.406999578
Maximum1.658485042
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:55:42.130862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.406999578
5-th percentile-1.359653599
Q1-0.7767380371
median-0.06932416797
Q30.8649127973
95-th percentile1.499897855
Maximum1.658485042
Range3.06548462
Interquartile range (IQR)1.641650834

Descriptive statistics

Standard deviation1.015434016
Coefficient of variation (CV)28.60639193
Kurtosis-1.287487028
Mean0.03549675257
Median Absolute Deviation (MAD)0.9455663015
Skewness0.1217052542
Sum0.5679480411
Variance1.031106241
MonotonicityNot monotonic
2025-03-30T10:55:42.514977image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.3234309295 1
 
6.2%
1.44703546 1
 
6.2%
-0.4622572801 1
 
6.2%
0.9076182768 1
 
6.2%
0.0455897035 1
 
6.2%
1.281992253 1
 
6.2%
-1.040454966 1
 
6.2%
-0.1842380394 1
 
6.2%
-1.095106052 1
 
6.2%
1.658485042 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.406999578 1
6.2%
-1.343871606 1
6.2%
-1.095106052 1
6.2%
-1.040454966 1
6.2%
-0.6888323943 1
6.2%
ValueCountFrequency (%)
1.658485042 1
6.2%
1.44703546 1
6.2%
1.281992253 1
6.2%
0.9076182768 1
6.2%
0.8506776375 1
6.2%

SPIndtotcnt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06398071753
Minimum-1.928730023
Maximum1.480108792
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:55:42.930961image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.928730023
5-th percentile-1.673892968
Q1-0.938788851
median-0.2272738525
Q30.9526606102
95-th percentile1.459988928
Maximum1.480108792
Range3.408838815
Interquartile range (IQR)1.891449461

Descriptive statistics

Standard deviation1.124721049
Coefficient of variation (CV)-17.57906276
Kurtosis-1.269615169
Mean-0.06398071753
Median Absolute Deviation (MAD)0.8699707796
Skewness0.03014107295
Sum-1.02369148
Variance1.264997437
MonotonicityNot monotonic
2025-03-30T10:55:43.380933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.588947283 1
 
6.2%
1.480108792 1
 
6.2%
-1.029666228 1
 
6.2%
-0.9084963919 1
 
6.2%
-1.928730023 1
 
6.2%
1.212784389 1
 
6.2%
0.8659526839 1
 
6.2%
-0.2825760988 1
 
6.2%
-0.1719716063 1
 
6.2%
-1.047822054 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.928730023 1
6.2%
-1.588947283 1
6.2%
-1.047822054 1
6.2%
-1.029666228 1
6.2%
-0.9084963919 1
6.2%
ValueCountFrequency (%)
1.480108792 1
6.2%
1.453282306 1
6.2%
1.3789017 1
6.2%
1.212784389 1
6.2%
0.8659526839 1
6.2%

SPIndusdval
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1409696204
Minimum-1.552513992
Maximum2.884232277
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:43.835141image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.552513992
5-th percentile-1.166694876
Q1-0.8403395778
median0.2074724778
Q30.9007237069
95-th percentile1.640002122
Maximum2.884232277
Range4.436746269
Interquartile range (IQR)1.741063285

Descriptive statistics

Standard deviation1.135457514
Coefficient of variation (CV)8.054625606
Kurtosis0.7022078467
Mean0.1409696204
Median Absolute Deviation (MAD)0.8229429846
Skewness0.7042778495
Sum2.255513926
Variance1.289263766
MonotonicityNot monotonic
2025-03-30T10:55:44.221337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.552513992 1
 
6.2%
0.8977578987 1
 
6.2%
0.9096211314 1
 
6.2%
-0.3769103244 1
 
6.2%
-1.038088504 1
 
6.2%
-0.8424974914 1
 
6.2%
-0.8396202733 1
 
6.2%
1.097772021 1
 
6.2%
0.6807657487 1
 
6.2%
2.884232277 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.552513992 1
6.2%
-1.038088504 1
6.2%
-0.9936810108 1
6.2%
-0.8424974914 1
6.2%
-0.8396202733 1
6.2%
ValueCountFrequency (%)
2.884232277 1
6.2%
1.225258737 1
6.2%
1.097772021 1
6.2%
0.9096211314 1
6.2%
0.8977578987 1
6.2%

SPIndusdcnt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4621188429
Minimum-2.377875535
Maximum1.354441073
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)68.8%
Memory size256.0 B
2025-03-30T10:55:44.615184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.377875535
5-th percentile-1.580844691
Q1-0.9961315273
median-0.6660960638
Q30.08983101048
95-th percentile1.009507931
Maximum1.354441073
Range3.732316608
Interquartile range (IQR)1.085962538

Descriptive statistics

Standard deviation0.9269455049
Coefficient of variation (CV)-2.005859573
Kurtosis0.3056294077
Mean-0.4621188429
Median Absolute Deviation (MAD)0.5542139656
Skewness0.1027198619
Sum-7.393901487
Variance0.8592279691
MonotonicityNot monotonic
2025-03-30T10:55:45.039581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.9607388783 1
 
6.2%
-1.19674681 1
 
6.2%
-0.1829934218 1
 
6.2%
-1.102309474 1
 
6.2%
-0.08831887881 1
 
6.2%
-0.6793047694 1
 
6.2%
0.3500111979 1
 
6.2%
-0.6528873582 1
 
6.2%
0.01449019732 1
 
6.2%
-2.377875535 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.377875535 1
6.2%
-1.315167742 1
6.2%
-1.19674681 1
6.2%
-1.102309474 1
6.2%
-0.9607388783 1
6.2%
ValueCountFrequency (%)
1.354441073 1
6.2%
0.8945302174 1
6.2%
0.3500111979 1
6.2%
0.3158534499 1
6.2%
0.01449019732 1
6.2%

SPIndspindx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2834242885
Minimum-1.583649825
Maximum2.524396538
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:55:45.455692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.583649825
5-th percentile-1.444035449
Q1-0.5012710247
median-0.136564079
Q31.241176975
95-th percentile2.325219476
Maximum2.524396538
Range4.108046363
Interquartile range (IQR)1.742448

Descriptive statistics

Standard deviation1.351606381
Coefficient of variation (CV)4.768844578
Kurtosis-1.105873619
Mean0.2834242885
Median Absolute Deviation (MAD)1.040346757
Skewness0.4125757841
Sum4.534788615
Variance1.82683981
MonotonicityNot monotonic
2025-03-30T10:55:45.827647image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.1443928185 1
 
6.2%
-0.3459163006 1
 
6.2%
1.953303256 1
 
6.2%
-0.1287353395 1
 
6.2%
-1.397497324 1
 
6.2%
2.258827122 1
 
6.2%
-0.3409167061 1
 
6.2%
-0.2473277331 1
 
6.2%
2.524396538 1
 
6.2%
-0.9673351969 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.583649825 1
6.2%
-1.397497324 1
6.2%
-1.15684933 1
6.2%
-0.9673351969 1
6.2%
-0.3459163006 1
6.2%
ValueCountFrequency (%)
2.524396538 1
6.2%
2.258827122 1
6.2%
2.112345888 1
6.2%
1.953303256 1
6.2%
1.003801548 1
6.2%

SPIndsprtrn
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4237292017
Minimum-1.826660017
Maximum0.7654492384
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)68.8%
Memory size256.0 B
2025-03-30T10:55:46.201743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.826660017
5-th percentile-1.372058135
Q1-0.8263324376
median-0.5059720386
Q30.1789794886
95-th percentile0.6160323833
Maximum0.7654492384
Range2.592109255
Interquartile range (IQR)1.005311926

Descriptive statistics

Standard deviation0.6946563986
Coefficient of variation (CV)-1.639387599
Kurtosis-0.2104316355
Mean-0.4237292017
Median Absolute Deviation (MAD)0.414418284
Skewness0.01854384785
Sum-6.779667227
Variance0.4825475121
MonotonicityNot monotonic
2025-03-30T10:55:46.583403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.5662267649 1
 
6.2%
0.3010236042 1
 
6.2%
0.3656485867 1
 
6.2%
-0.6260011261 1
 
6.2%
-1.008419931 1
 
6.2%
0.7654492384 1
 
6.2%
0.1382981168 1
 
6.2%
-0.5042209639 1
 
6.2%
-0.4554176913 1
 
6.2%
-0.8323607143 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.826660017 1
6.2%
-1.220524175 1
6.2%
-1.008419931 1
6.2%
-0.8323607143 1
6.2%
-0.8243230121 1
6.2%
ValueCountFrequency (%)
0.7654492384 1
6.2%
0.5662267649 1
6.2%
0.3656485867 1
6.2%
0.3010236042 1
6.2%
0.1382981168 1
6.2%

SPporvwretd
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1528407315
Minimum-1.249887481
Maximum2.049574929
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:55:46.944901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.249887481
5-th percentile-1.176518115
Q1-0.6262101564
median-0.003682265205
Q30.7645155873
95-th percentile1.851797075
Maximum2.049574929
Range3.299462409
Interquartile range (IQR)1.390725744

Descriptive statistics

Standard deviation1.084294731
Coefficient of variation (CV)7.094278598
Kurtosis-0.9868579112
Mean0.1528407315
Median Absolute Deviation (MAD)0.6935341331
Skewness0.4815470719
Sum2.445451704
Variance1.175695063
MonotonicityNot monotonic
2025-03-30T10:55:47.371670image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2.049574929 1
 
6.2%
-0.2858782962 1
 
6.2%
-1.044141022 1
 
6.2%
0.3796021018 1
 
6.2%
-0.5392140158 1
 
6.2%
1.366472842 1
 
6.2%
-1.249887481 1
 
6.2%
0.5638631689 1
 
6.2%
0.2015440018 1
 
6.2%
-0.5605451761 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.249887481 1
6.2%
-1.15206166 1
6.2%
-1.044141022 1
6.2%
-0.8232050973 1
6.2%
-0.5605451761 1
6.2%
ValueCountFrequency (%)
2.049574929 1
6.2%
1.785871124 1
6.2%
1.665309046 1
6.2%
1.366472842 1
6.2%
0.5638631689 1
6.2%

SPporvwretx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03975847966
Minimum-2.149313551
Maximum1.442005798
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:55:47.771971image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.149313551
5-th percentile-1.26009593
Q1-0.5648672396
median-0.1369130072
Q30.4766187866
95-th percentile1.363856291
Maximum1.442005798
Range3.591319349
Interquartile range (IQR)1.041486026

Descriptive statistics

Standard deviation0.9216776938
Coefficient of variation (CV)-23.18191494
Kurtosis0.5755718129
Mean-0.03975847966
Median Absolute Deviation (MAD)0.4739728255
Skewness-0.298363499
Sum-0.6361356745
Variance0.8494897712
MonotonicityNot monotonic
2025-03-30T10:55:48.195448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.3871204263 1
 
6.2%
-0.1477220451 1
 
6.2%
1.337806455 1
 
6.2%
-0.9636900569 1
 
6.2%
0.06121237139 1
 
6.2%
0.9727743966 1
 
6.2%
0.3245675349 1
 
6.2%
-0.1261039693 1
 
6.2%
0.8578188415 1
 
6.2%
-2.149313551 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.149313551 1
6.2%
-0.9636900569 1
6.2%
-0.6488521834 1
6.2%
-0.5910131735 1
6.2%
-0.5561519283 1
6.2%
ValueCountFrequency (%)
1.442005798 1
6.2%
1.337806455 1
6.2%
0.9727743966 1
6.2%
0.8578188415 1
6.2%
0.3495521016 1
6.2%

SPporewretd
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1807745599
Minimum-2.105111188
Maximum2.498867386
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:55:48.651465image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.105111188
5-th percentile-1.665118041
Q1-0.7713928922
median-0.384278598
Q30.3620210181
95-th percentile1.820931935
Maximum2.498867386
Range4.603978574
Interquartile range (IQR)1.13341391

Descriptive statistics

Standard deviation1.135770034
Coefficient of variation (CV)-6.282797949
Kurtosis1.105981909
Mean-0.1807745599
Median Absolute Deviation (MAD)0.6847689972
Skewness0.74459152
Sum-2.892392958
Variance1.289973571
MonotonicityNot monotonic
2025-03-30T10:55:49.051854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.5435929237 1
 
6.2%
-0.7620952849 1
 
6.2%
0.4126306231 1
 
6.2%
-0.6024016221 1
 
6.2%
1.594953451 1
 
6.2%
-1.518453659 1
 
6.2%
0.2558296484 1
 
6.2%
-0.487551882 1
 
6.2%
-0.7992857139 1
 
6.2%
-2.105111188 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.105111188 1
6.2%
-1.518453659 1
6.2%
-1.233772842 1
6.2%
-0.7992857139 1
6.2%
-0.7620952849 1
6.2%
ValueCountFrequency (%)
2.498867386 1
6.2%
1.594953451 1
6.2%
0.4981861423 1
6.2%
0.4126306231 1
6.2%
0.3451511498 1
6.2%

SPporewretx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2182964296
Minimum-1.653582116
Maximum2.514438637
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:55:49.474171image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.653582116
5-th percentile-1.56077021
Q1-1.38987352
median-0.2894646427
Q30.5634294575
95-th percentile1.925269575
Maximum2.514438637
Range4.168020752
Interquartile range (IQR)1.953302977

Descriptive statistics

Standard deviation1.295803525
Coefficient of variation (CV)-5.935981303
Kurtosis-0.4945317627
Mean-0.2182964296
Median Absolute Deviation (MAD)1.126740225
Skewness0.6858511113
Sum-3.492742874
Variance1.679106775
MonotonicityNot monotonic
2025-03-30T10:55:49.919898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.049825534 1
 
6.2%
-0.1820722406 1
 
6.2%
0.9957084205 1
 
6.2%
-1.509774293 1
 
6.2%
-1.468867565 1
 
6.2%
-1.653582116 1
 
6.2%
-1.363542171 1
 
6.2%
0.4193364698 1
 
6.2%
0.3432337984 1
 
6.2%
-1.529832908 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.653582116 1
6.2%
-1.529832908 1
6.2%
-1.509774293 1
6.2%
-1.468867565 1
6.2%
-1.363542171 1
6.2%
ValueCountFrequency (%)
2.514438637 1
6.2%
1.728879887 1
6.2%
1.054731335 1
6.2%
0.9957084205 1
6.2%
0.4193364698 1
6.2%

SPportotval
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3069502811
Minimum-1.377457407
Maximum2.293211006
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:50.352918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.377457407
5-th percentile-0.8684550657
Q1-0.5121644506
median0.2861678299
Q31.025274774
95-th percentile2.007049556
Maximum2.293211006
Range3.670668413
Interquartile range (IQR)1.537439224

Descriptive statistics

Standard deviation1.000504379
Coefficient of variation (CV)3.259499798
Kurtosis-0.2937329175
Mean0.3069502811
Median Absolute Deviation (MAD)0.7526212367
Skewness0.3798938267
Sum4.911204498
Variance1.001009013
MonotonicityNot monotonic
2025-03-30T10:55:50.891275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.089009325 1
 
6.2%
-0.6987876185 1
 
6.2%
0.5729184841 1
 
6.2%
1.024947556 1
 
6.2%
-0.003981149494 1
 
6.2%
-0.216404421 1
 
6.2%
1.911662406 1
 
6.2%
0.4745373465 1
 
6.2%
-1.377457407 1
 
6.2%
1.026256426 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.377457407 1
6.2%
-0.6987876185 1
6.2%
-0.6884354439 1
6.2%
-0.6116996611 1
6.2%
-0.4789860471 1
6.2%
ValueCountFrequency (%)
2.293211006 1
6.2%
1.911662406 1
6.2%
1.089009325 1
6.2%
1.026256426 1
6.2%
1.024947556 1
6.2%

SPportotcnt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2738810635
Minimum-2.643516256
Maximum1.286482065
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:55:51.375287image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.643516256
5-th percentile-2.172266812
Q1-0.6947430821
median-0.1023438203
Q30.4467867445
95-th percentile1.021930173
Maximum1.286482065
Range3.92999832
Interquartile range (IQR)1.141529827

Descriptive statistics

Standard deviation1.040465941
Coefficient of variation (CV)-3.798969991
Kurtosis0.6225577721
Mean-0.2738810635
Median Absolute Deviation (MAD)0.5652937438
Skewness-0.8148808086
Sum-4.382097015
Variance1.082569375
MonotonicityNot monotonic
2025-03-30T10:55:51.823924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.6557637427 1
 
6.2%
-0.8116811003 1
 
6.2%
0.474823745 1
 
6.2%
-2.643516256 1
 
6.2%
0.2753774878 1
 
6.2%
-0.3016021336 1
 
6.2%
-2.015183664 1
 
6.2%
-0.6553775161 1
 
6.2%
-1.122631445 1
 
6.2%
1.286482065 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.643516256 1
6.2%
-2.015183664 1
6.2%
-1.122631445 1
6.2%
-0.8116811003 1
6.2%
-0.6557637427 1
6.2%
ValueCountFrequency (%)
1.286482065 1
6.2%
0.9337462088 1
6.2%
0.689003144 1
6.2%
0.474823745 1
6.2%
0.4374410777 1
6.2%

SPporusdval
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1318493391
Minimum-1.702481802
Maximum1.321311715
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:55:52.749465image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.702481802
5-th percentile-0.9936393153
Q1-0.5676071924
median0.301619422
Q30.6257386401
95-th percentile1.161001921
Maximum1.321311715
Range3.023793516
Interquartile range (IQR)1.193345832

Descriptive statistics

Standard deviation0.8201845183
Coefficient of variation (CV)6.220619111
Kurtosis0.01010738267
Mean0.1318493391
Median Absolute Deviation (MAD)0.6354220451
Skewness-0.5795650509
Sum2.109589425
Variance0.6727026441
MonotonicityNot monotonic
2025-03-30T10:55:53.163042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.3103462748 1
 
6.2%
-0.6077401402 1
 
6.2%
0.2928925692 1
 
6.2%
-0.05614513199 1
 
6.2%
0.7908701122 1
 
6.2%
-0.6790431826 1
 
6.2%
-1.702481802 1
 
6.2%
0.01848607066 1
 
6.2%
-0.5542295431 1
 
6.2%
0.5342469329 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.702481802 1
6.2%
-0.7573584865 1
6.2%
-0.6790431826 1
6.2%
-0.6077401402 1
6.2%
-0.5542295431 1
6.2%
ValueCountFrequency (%)
1.321311715 1
6.2%
1.107565323 1
6.2%
1.083212822 1
6.2%
0.7908701122 1
6.2%
0.570694816 1
6.2%

SPporusdcnt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2385962473
Minimum-1.394174352
Maximum2.391554821
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:55:53.583965image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.394174352
5-th percentile-1.037129967
Q1-0.4309967064
median0.5075772808
Q30.6589716642
95-th percentile1.348875889
Maximum2.391554821
Range3.785729173
Interquartile range (IQR)1.089968371

Descriptive statistics

Standard deviation0.9243253414
Coefficient of variation (CV)3.874014583
Kurtosis0.7604579324
Mean0.2385962473
Median Absolute Deviation (MAD)0.4742890459
Skewness0.3188777771
Sum3.817539956
Variance0.8543773368
MonotonicityNot monotonic
2025-03-30T10:55:54.003396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.6349038116 1
 
6.2%
2.391554821 1
 
6.2%
-0.3385983966 1
 
6.2%
0.2349152475 1
 
6.2%
0.4960923381 1
 
6.2%
1.001316245 1
 
6.2%
0.554307311 1
 
6.2%
0.9624164083 1
 
6.2%
-0.45248056 1
 
6.2%
-0.9181151724 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.394174352 1
6.2%
-0.9181151724 1
6.2%
-0.7860650997 1
6.2%
-0.45248056 1
6.2%
-0.4238354219 1
6.2%
ValueCountFrequency (%)
2.391554821 1
6.2%
1.001316245 1
6.2%
0.9624164083 1
6.2%
0.6864175004 1
6.2%
0.6498230521 1
6.2%

SPporspindx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1336837676
Minimum-1.116674067
Maximum1.061924785
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:54.449384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.116674067
5-th percentile-0.940517845
Q1-0.4343025052
median0.1893837646
Q30.7296474348
95-th percentile1.03508773
Maximum1.061924785
Range2.178598852
Interquartile range (IQR)1.16394994

Descriptive statistics

Standard deviation0.6952372918
Coefficient of variation (CV)5.200611145
Kurtosis-1.128435154
Mean0.1336837676
Median Absolute Deviation (MAD)0.6077434042
Skewness-0.3218787201
Sum2.138940282
Variance0.4833548919
MonotonicityNot monotonic
2025-03-30T10:55:54.854415image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.03035412186 1
 
6.2%
0.794096375 1
 
6.2%
0.7081644548 1
 
6.2%
0.3311465092 1
 
6.2%
0.8001579626 1
 
6.2%
-0.4303158446 1
 
6.2%
-1.116674067 1
 
6.2%
0.650922158 1
 
6.2%
-0.8817991045 1
 
6.2%
-0.4462624867 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.116674067 1
6.2%
-0.8817991045 1
6.2%
-0.6429923901 1
6.2%
-0.4462624867 1
6.2%
-0.4303158446 1
6.2%
ValueCountFrequency (%)
1.061924785 1
6.2%
1.026142044 1
6.2%
0.8001579626 1
6.2%
0.794096375 1
6.2%
0.7081644548 1
6.2%

SPporsprtrn
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2228402272
Minimum-1.671856613
Maximum1.378671417
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:55:55.230027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.671856613
5-th percentile-1.511182518
Q1-0.8119727411
median-0.1455498726
Q30.3020134297
95-th percentile1.234653461
Maximum1.378671417
Range3.05052803
Interquartile range (IQR)1.113986171

Descriptive statistics

Standard deviation0.8886495506
Coefficient of variation (CV)-3.987832725
Kurtosis-0.5936047787
Mean-0.2228402272
Median Absolute Deviation (MAD)0.6349296404
Skewness0.1256402033
Sum-3.565443635
Variance0.7896980237
MonotonicityNot monotonic
2025-03-30T10:55:55.593459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.457624487 1
 
6.2%
-0.7116595774 1
 
6.2%
-0.2290535566 1
 
6.2%
-1.001956857 1
 
6.2%
0.2289463802 1
 
6.2%
0.09183575827 1
 
6.2%
0.5212145784 1
 
6.2%
1.186647476 1
 
6.2%
0.005716086093 1
 
6.2%
-1.239555099 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.671856613 1
6.2%
-1.457624487 1
6.2%
-1.239555099 1
6.2%
-1.001956857 1
6.2%
-0.7486447025 1
6.2%
ValueCountFrequency (%)
1.378671417 1
6.2%
1.186647476 1
6.2%
0.5218451096 1
6.2%
0.5212145784 1
6.2%
0.2289463802 1
6.2%

usind2CRSPMEV1
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5328609162
Minimum-1.753491357
Maximum1.630734955
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)68.8%
Memory size256.0 B
2025-03-30T10:55:55.999501image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.753491357
5-th percentile-1.735499639
Q1-1.252468808
median-0.4784120178
Q30.1282762274
95-th percentile0.9942671961
Maximum1.630734955
Range3.384226312
Interquartile range (IQR)1.380745035

Descriptive statistics

Standard deviation0.9766483586
Coefficient of variation (CV)-1.832839169
Kurtosis-0.1203073219
Mean-0.5328609162
Median Absolute Deviation (MAD)0.699570127
Skewness0.5763210167
Sum-8.525774659
Variance0.9538420164
MonotonicityNot monotonic
2025-03-30T10:55:56.389668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.7821112767 1
 
6.2%
-1.234889044 1
 
6.2%
-1.709737074 1
 
6.2%
-0.5570010948 1
 
6.2%
0.1259989475 1
 
6.2%
1.630734955 1
 
6.2%
-1.161811076 1
 
6.2%
-1.7295024 1
 
6.2%
-1.753491357 1
 
6.2%
-0.1415930481 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.753491357 1
6.2%
-1.7295024 1
6.2%
-1.709737074 1
6.2%
-1.305208098 1
6.2%
-1.234889044 1
6.2%
ValueCountFrequency (%)
1.630734955 1
6.2%
0.7821112767 1
6.2%
0.2343432389 1
6.2%
0.1351080671 1
6.2%
0.1259989475 1
6.2%

usind2CRSPMEG1
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2727911321
Minimum-2.033940617
Maximum2.840886393
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:55:56.798149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.033940617
5-th percentile-1.471106506
Q1-0.3188111198
median0.1053340428
Q30.8801935105
95-th percentile2.221869294
Maximum2.840886393
Range4.87482701
Interquartile range (IQR)1.19900463

Descriptive statistics

Standard deviation1.290644017
Coefficient of variation (CV)4.73125357
Kurtosis-0.08089158866
Mean0.2727911321
Median Absolute Deviation (MAD)0.6624026401
Skewness0.2548464465
Sum4.364658113
Variance1.66576198
MonotonicityNot monotonic
2025-03-30T10:55:57.234868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.283495136 1
 
6.2%
1.260472962 1
 
6.2%
-1.257417221 1
 
6.2%
-0.1812346339 1
 
6.2%
0.06038314729 1
 
6.2%
1.899939667 1
 
6.2%
0.7534336932 1
 
6.2%
-0.571371587 1
 
6.2%
0.2432176226 1
 
6.2%
2.015530261 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.033940617 1
6.2%
-1.283495136 1
6.2%
-1.257417221 1
6.2%
-0.571371587 1
6.2%
-0.2346242974 1
6.2%
ValueCountFrequency (%)
2.840886393 1
6.2%
2.015530261 1
6.2%
1.899939667 1
6.2%
1.260472962 1
6.2%
0.7534336932 1
6.2%

usind2CRSPLCV1
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3131716973
Minimum-1.629909459
Maximum2.163100943
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:55:57.639275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.629909459
5-th percentile-1.06134819
Q1-0.2376472634
median0.1651415046
Q31.17079544
95-th percentile1.632220606
Maximum2.163100943
Range3.793010402
Interquartile range (IQR)1.408442704

Descriptive statistics

Standard deviation0.9941737626
Coefficient of variation (CV)3.174532601
Kurtosis-0.3098212849
Mean0.3131716973
Median Absolute Deviation (MAD)0.6958333987
Skewness-0.009565566003
Sum5.010747157
Variance0.9883814703
MonotonicityNot monotonic
2025-03-30T10:55:58.069255image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.629909459 1
 
6.2%
-0.6380915466 1
 
6.2%
-0.8718277666 1
 
6.2%
1.35643371 1
 
6.2%
1.455260494 1
 
6.2%
0.07812750349 1
 
6.2%
-0.1657194287 1
 
6.2%
-0.008654653921 1
 
6.2%
-0.1757656039 1
 
6.2%
0.5592636894 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.629909459 1
6.2%
-0.8718277666 1
6.2%
-0.6380915466 1
6.2%
-0.4232922417 1
6.2%
-0.1757656039 1
6.2%
ValueCountFrequency (%)
2.163100943 1
6.2%
1.455260494 1
6.2%
1.35643371 1
6.2%
1.249530724 1
6.2%
1.144550346 1
6.2%

usind2CRSPLCG1
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1257161738
Minimum-2.537597876
Maximum2.00290734
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:55:58.507466image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.537597876
5-th percentile-1.634504839
Q1-0.8321124414
median-0.2777028821
Q30.6846932448
95-th percentile1.661717125
Maximum2.00290734
Range4.540505216
Interquartile range (IQR)1.516805686

Descriptive statistics

Standard deviation1.14888542
Coefficient of variation (CV)-9.138724044
Kurtosis0.1801659606
Mean-0.1257161738
Median Absolute Deviation (MAD)0.6109284905
Skewness-0.02151511263
Sum-2.01145878
Variance1.319937708
MonotonicityNot monotonic
2025-03-30T10:55:58.928224image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.1470020493 1
 
6.2%
0.6562231375 1
 
6.2%
-0.8266776791 1
 
6.2%
0.7701035666 1
 
6.2%
-0.7117911675 1
 
6.2%
-2.537597876 1
 
6.2%
1.547987054 1
 
6.2%
-0.928846017 1
 
6.2%
0.2304966212 1
 
6.2%
-0.6058684462 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.537597876 1
6.2%
-1.333473827 1
6.2%
-0.928846017 1
6.2%
-0.8484167282 1
6.2%
-0.8266776791 1
6.2%
ValueCountFrequency (%)
2.00290734 1
6.2%
1.547987054 1
6.2%
0.9818989564 1
6.2%
0.7701035666 1
6.2%
0.6562231375 1
6.2%

usind2CRSPMIV1
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.218112523
Minimum-1.655386388
Maximum1.867389902
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:55:59.324749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.655386388
5-th percentile-1.574751693
Q1-1.053519046
median-0.3442007654
Q30.2829065676
95-th percentile1.459463843
Maximum1.867389902
Range3.522776289
Interquartile range (IQR)1.336425613

Descriptive statistics

Standard deviation1.014491669
Coefficient of variation (CV)-4.651230726
Kurtosis-0.3180582335
Mean-0.218112523
Median Absolute Deviation (MAD)0.726501037
Skewness0.470601433
Sum-3.489800368
Variance1.029193346
MonotonicityNot monotonic
2025-03-30T10:55:59.762278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.09235683676 1
 
6.2%
-0.600286576 1
 
6.2%
0.79197894 1
 
6.2%
-1.655386388 1
 
6.2%
0.01231115735 1
 
6.2%
1.867389902 1
 
6.2%
-0.4020897255 1
 
6.2%
-1.105067316 1
 
6.2%
-0.3581784041 1
 
6.2%
1.32348849 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.655386388 1
6.2%
-1.547873461 1
6.2%
-1.319618308 1
6.2%
-1.105067316 1
6.2%
-1.036336289 1
6.2%
ValueCountFrequency (%)
1.867389902 1
6.2%
1.32348849 1
6.2%
0.79197894 1
6.2%
0.6007877157 1
6.2%
0.1769461849 1
6.2%

usind2CRSPMIG1
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07485878208
Minimum-0.952556118
Maximum1.023874662
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:56:00.216380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.952556118
5-th percentile-0.7326739032
Q1-0.4870749226
median-0.1613723954
Q30.3163087135
95-th percentile0.7391206236
Maximum1.023874662
Range1.97643078
Interquartile range (IQR)0.8033836361

Descriptive statistics

Standard deviation0.5452005417
Coefficient of variation (CV)-7.283053859
Kurtosis-0.6028513165
Mean-0.07485878208
Median Absolute Deviation (MAD)0.3914179537
Skewness0.3725508282
Sum-1.197740513
Variance0.2972436307
MonotonicityNot monotonic
2025-03-30T10:56:00.670097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.1412910274 1
 
6.2%
-0.08577651517 1
 
6.2%
0.6442026107 1
 
6.2%
-0.5871635998 1
 
6.2%
1.023874662 1
 
6.2%
0.4942260823 1
 
6.2%
0.3145789838 1
 
6.2%
-0.6593798316 1
 
6.2%
-0.5143100941 1
 
6.2%
-0.3827309299 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-0.952556118 1
6.2%
-0.6593798316 1
6.2%
-0.5871635998 1
6.2%
-0.5143100941 1
6.2%
-0.4779965321 1
6.2%
ValueCountFrequency (%)
1.023874662 1
6.2%
0.6442026107 1
6.2%
0.4942260823 1
6.2%
0.3214979026 1
6.2%
0.3145789838 1
6.2%

usind2CRSPSCV1
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0823282295
Minimum-1.707649383
Maximum1.239577635
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:56:01.091323image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.707649383
5-th percentile-1.169043214
Q1-0.2647121642
median0.1404501847
Q30.5207733766
95-th percentile0.962298122
Maximum1.239577635
Range2.947227018
Interquartile range (IQR)0.7854855409

Descriptive statistics

Standard deviation0.7383357781
Coefficient of variation (CV)8.968196967
Kurtosis1.081831039
Mean0.0823282295
Median Absolute Deviation (MAD)0.3955368513
Skewness-0.8547465684
Sum1.317251672
Variance0.5451397211
MonotonicityNot monotonic
2025-03-30T10:56:01.490458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.707649383 1
 
6.2%
-0.2507514318 1
 
6.2%
-0.2447798579 1
 
6.2%
0.491668832 1
 
6.2%
-0.4329283204 1
 
6.2%
0.4353298363 1
 
6.2%
0.06412809384 1
 
6.2%
-0.3065943615 1
 
6.2%
0.5403222707 1
 
6.2%
0.1356564193 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.707649383 1
6.2%
-0.9895078249 1
6.2%
-0.4329283204 1
6.2%
-0.3065943615 1
6.2%
-0.2507514318 1
6.2%
ValueCountFrequency (%)
1.239577635 1
6.2%
0.8698716176 1
6.2%
0.8134071179 1
6.2%
0.5403222707 1
6.2%
0.5142570786 1
6.2%

usind2CRSPSCG1
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2449976189
Minimum-1.466686413
Maximum1.033015744
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:56:01.893466image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.466686413
5-th percentile-1.203696175
Q1-0.9536619471
median-0.4211243492
Q30.455431501
95-th percentile0.7787295725
Maximum1.033015744
Range2.499702157
Interquartile range (IQR)1.409093448

Descriptive statistics

Standard deviation0.7723032664
Coefficient of variation (CV)-3.152288866
Kurtosis-1.36099608
Mean-0.2449976189
Median Absolute Deviation (MAD)0.6782845065
Skewness0.05715163259
Sum-3.919961903
Variance0.5964523353
MonotonicityNot monotonic
2025-03-30T10:56:02.358954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.4706021549 1
 
6.2%
1.033015744 1
 
6.2%
0.2925848814 1
 
6.2%
-0.9227146864 1
 
6.2%
0.6939675152 1
 
6.2%
-0.6556875258 1
 
6.2%
-0.426927176 1
 
6.2%
-1.046503729 1
 
6.2%
-1.116032763 1
 
6.2%
0.4507570117 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.466686413 1
6.2%
-1.116032763 1
6.2%
-1.082784948 1
6.2%
-1.046503729 1
6.2%
-0.9227146864 1
6.2%
ValueCountFrequency (%)
1.033015744 1
6.2%
0.6939675152 1
6.2%
0.5314823822 1
6.2%
0.4694549688 1
6.2%
0.4507570117 1
6.2%

usind2CRSPMEVT
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2578024266
Minimum-2.56880088
Maximum1.167613948
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:56:02.795978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.56880088
5-th percentile-2.134642445
Q1-0.8813733639
median-0.002147139578
Q30.7392942565
95-th percentile1.035398881
Maximum1.167613948
Range3.736414828
Interquartile range (IQR)1.62066762

Descriptive statistics

Standard deviation1.12167456
Coefficient of variation (CV)-4.350907686
Kurtosis-0.419361178
Mean-0.2578024266
Median Absolute Deviation (MAD)0.8884806663
Skewness-0.6089836514
Sum-4.124838826
Variance1.258153818
MonotonicityNot monotonic
2025-03-30T10:56:03.253280image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.9125785263 1
 
6.2%
-0.006201691433 1
 
6.2%
-0.4574466022 1
 
6.2%
0.1103734799 1
 
6.2%
0.9059896894 1
 
6.2%
-0.8709716431 1
 
6.2%
0.1714661334 1
 
6.2%
-2.56880088 1
 
6.2%
0.6837291122 1
 
6.2%
0.9913271926 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.56880088 1
6.2%
-1.989922967 1
6.2%
-1.575404686 1
6.2%
-0.9125785263 1
6.2%
-0.8709716431 1
6.2%
ValueCountFrequency (%)
1.167613948 1
6.2%
0.9913271926 1
6.2%
0.9467665679 1
6.2%
0.9059896894 1
6.2%
0.6837291122 1
6.2%

usind2CRSPMEGT
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4472066894
Minimum-1.114625403
Maximum2.10036328
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:56:03.680741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.114625403
5-th percentile-0.8520815881
Q1-0.08677637126
median0.2391455667
Q31.206448202
95-th percentile1.935881838
Maximum2.10036328
Range3.214988683
Interquartile range (IQR)1.293224573

Descriptive statistics

Standard deviation0.9215008963
Coefficient of variation (CV)2.060570466
Kurtosis-0.6145006366
Mean0.4472066894
Median Absolute Deviation (MAD)0.4681848145
Skewness0.2873153406
Sum7.155307031
Variance0.8491639018
MonotonicityNot monotonic
2025-03-30T10:56:04.084570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.09850827752 1
 
6.2%
1.88105469 1
 
6.2%
0.3898787557 1
 
6.2%
1.168111344 1
 
6.2%
-0.08286573585 1
 
6.2%
0.5730939272 1
 
6.2%
1.321458776 1
 
6.2%
-1.114625403 1
 
6.2%
-0.359570218 1
 
6.2%
0.0884123777 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.114625403 1
6.2%
-0.7645669832 1
6.2%
-0.359570218 1
6.2%
-0.09850827752 1
6.2%
-0.08286573585 1
6.2%
ValueCountFrequency (%)
2.10036328 1
6.2%
1.88105469 1
6.2%
1.46451355 1
6.2%
1.321458776 1
6.2%
1.168111344 1
6.2%

usind2CRSPLCVT
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2783649771
Minimum-1.698269672
Maximum1.580925243
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:04.482324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.698269672
5-th percentile-1.571484304
Q1-0.9885978146
median-0.5398842208
Q30.4507856012
95-th percentile1.246868529
Maximum1.580925243
Range3.279194915
Interquartile range (IQR)1.439383416

Descriptive statistics

Standard deviation0.9815906833
Coefficient of variation (CV)-3.526272211
Kurtosis-0.8164296599
Mean-0.2783649771
Median Absolute Deviation (MAD)0.5749025085
Skewness0.4587789787
Sum-4.453839633
Variance0.9635202695
MonotonicityNot monotonic
2025-03-30T10:56:04.930533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.698269672 1
 
6.2%
-0.4838277444 1
 
6.2%
0.4406988015 1
 
6.2%
-0.8021846698 1
 
6.2%
-0.9562457829 1
 
6.2%
0.4810460001 1
 
6.2%
-0.5959406973 1
 
6.2%
-0.0725852104 1
 
6.2%
-1.059924906 1
 
6.2%
0.08988011125 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.698269672 1
6.2%
-1.529222515 1
6.2%
-1.059924906 1
6.2%
-0.9998780742 1
6.2%
-0.9848377281 1
6.2%
ValueCountFrequency (%)
1.580925243 1
6.2%
1.135516291 1
6.2%
1.00101092 1
6.2%
0.4810460001 1
6.2%
0.4406988015 1
6.2%

usind2CRSPLCGT
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2627316532
Minimum-1.336791919
Maximum1.864370557
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:05.345052image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.336791919
5-th percentile-1.044986857
Q1-0.3716529612
median0.3434999579
Q31.016492719
95-th percentile1.55253947
Maximum1.864370557
Range3.201162476
Interquartile range (IQR)1.38814568

Descriptive statistics

Standard deviation0.9314131588
Coefficient of variation (CV)3.545112084
Kurtosis-0.9045759701
Mean0.2627316532
Median Absolute Deviation (MAD)0.7261246125
Skewness-0.0221303754
Sum4.203706451
Variance0.8675304723
MonotonicityNot monotonic
2025-03-30T10:56:05.762814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.1057881021 1
 
6.2%
1.238557996 1
 
6.2%
-0.6373286539 1
 
6.2%
0.3980415595 1
 
6.2%
0.471485552 1
 
6.2%
-0.2830943969 1
 
6.2%
-0.8034641092 1
 
6.2%
1.169154828 1
 
6.2%
0.2889583564 1
 
6.2%
-1.336791919 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.336791919 1
6.2%
-0.9477185024 1
6.2%
-0.8034641092 1
6.2%
-0.6373286539 1
6.2%
-0.2830943969 1
6.2%
ValueCountFrequency (%)
1.864370557 1
6.2%
1.448595775 1
6.2%
1.238557996 1
6.2%
1.169154828 1
6.2%
0.9656053488 1
6.2%

usind2CRSPMIVT
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2379375635
Minimum-1.765710187
Maximum1.459667233
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)75.0%
Memory size256.0 B
2025-03-30T10:56:06.161286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.765710187
5-th percentile-1.268984648
Q1-0.798903617
median-0.3508799566
Q30.02692575792
95-th percentile1.197714846
Maximum1.459667233
Range3.22537742
Interquartile range (IQR)0.825829375

Descriptive statistics

Standard deviation0.8764521799
Coefficient of variation (CV)-3.683538517
Kurtosis-0.151938632
Mean-0.2379375635
Median Absolute Deviation (MAD)0.4717602339
Skewness0.5216686335
Sum-3.807001017
Variance0.7681684237
MonotonicityNot monotonic
2025-03-30T10:56:06.562734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.4792953562 1
 
6.2%
1.459667233 1
 
6.2%
-0.1935354866 1
 
6.2%
-0.1238641082 1
 
6.2%
-1.765710187 1
 
6.2%
1.031430438 1
 
6.2%
-0.2084415626 1
 
6.2%
-0.8701133374 1
 
6.2%
-0.638524388 1
 
6.2%
1.110397384 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.765710187 1
6.2%
-1.103409468 1
6.2%
-0.9747411863 1
6.2%
-0.8701133374 1
6.2%
-0.7751670436 1
6.2%
ValueCountFrequency (%)
1.459667233 1
6.2%
1.110397384 1
6.2%
1.031430438 1
6.2%
0.4792953562 1
6.2%
-0.1238641082 1
6.2%

usind2CRSPMIGT
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.322904176
Minimum-1.501530523
Maximum0.8071695158
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:06.979656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.501530523
5-th percentile-1.457244825
Q1-0.7946298047
median-0.3659177379
Q30.325790008
95-th percentile0.6168292137
Maximum0.8071695158
Range2.308700039
Interquartile range (IQR)1.120419813

Descriptive statistics

Standard deviation0.7073974614
Coefficient of variation (CV)-2.190734942
Kurtosis-0.9613907178
Mean-0.322904176
Median Absolute Deviation (MAD)0.5839945019
Skewness-0.1694567996
Sum-5.166466817
Variance0.5004111684
MonotonicityNot monotonic
2025-03-30T10:56:07.393005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.4269059567 1
 
6.2%
0.5533824463 1
 
6.2%
0.3397040313 1
 
6.2%
-1.501530523 1
 
6.2%
-0.8124296911 1
 
6.2%
0.3461154532 1
 
6.2%
-0.3049295191 1
 
6.2%
-0.5030693996 1
 
6.2%
0.8071695158 1
 
6.2%
0.3211520002 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.501530523 1
6.2%
-1.442482926 1
6.2%
-1.148676632 1
6.2%
-0.8124296911 1
6.2%
-0.7886965092 1
6.2%
ValueCountFrequency (%)
0.8071695158 1
6.2%
0.5533824463 1
6.2%
0.3461154532 1
6.2%
0.3397040313 1
6.2%
0.3211520002 1
6.2%

usind2CRSPSCVT
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3691087258
Minimum-2.010633474
Maximum1.646850087
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)18.8%
Memory size256.0 B
2025-03-30T10:56:07.788454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.010633474
5-th percentile-1.230294291
Q10.1133230646
median0.4649353078
Q30.832781056
95-th percentile1.550870788
Maximum1.646850087
Range3.657483561
Interquartile range (IQR)0.7194579914

Descriptive statistics

Standard deviation0.8888423209
Coefficient of variation (CV)2.408077238
Kurtosis2.677337107
Mean0.3691087258
Median Absolute Deviation (MAD)0.3742748169
Skewness-1.291308484
Sum5.905739613
Variance0.7900406714
MonotonicityNot monotonic
2025-03-30T10:56:08.210346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.3730212137 1
 
6.2%
0.06406067019 1
 
6.2%
-2.010633474 1
 
6.2%
0.3061359152 1
 
6.2%
-0.9701812298 1
 
6.2%
0.93130635 1
 
6.2%
1.646850087 1
 
6.2%
1.518877689 1
 
6.2%
-0.08504164426 1
 
6.2%
0.8126103039 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.010633474 1
6.2%
-0.9701812298 1
6.2%
-0.08504164426 1
6.2%
0.06406067019 1
6.2%
0.1297438627 1
6.2%
ValueCountFrequency (%)
1.646850087 1
6.2%
1.518877689 1
6.2%
0.93130635 1
6.2%
0.8932933122 1
6.2%
0.8126103039 1
6.2%

usind2CRSPSCGT
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5089760565
Minimum-1.440736251
Maximum2.357091831
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:56:08.631503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.440736251
5-th percentile-0.6979499057
Q1-0.2165149819
median0.5770370675
Q31.108913017
95-th percentile1.777847633
Maximum2.357091831
Range3.797828082
Interquartile range (IQR)1.325427999

Descriptive statistics

Standard deviation0.9403940743
Coefficient of variation (CV)1.847619475
Kurtosis0.1795567245
Mean0.5089760565
Median Absolute Deviation (MAD)0.5897469222
Skewness-0.1464916976
Sum8.143616903
Variance0.8843410151
MonotonicityNot monotonic
2025-03-30T10:56:09.069633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.1555532971 1
 
6.2%
1.103443588 1
 
6.2%
0.9019828853 1
 
6.2%
1.584766234 1
 
6.2%
2.357091831 1
 
6.2%
-1.440736251 1
 
6.2%
1.042531273 1
 
6.2%
-0.4503544572 1
 
6.2%
1.125321306 1
 
6.2%
0.712759779 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.440736251 1
6.2%
-0.4503544572 1
6.2%
-0.4082070282 1
6.2%
-0.3994000362 1
6.2%
-0.1555532971 1
6.2%
ValueCountFrequency (%)
2.357091831 1
6.2%
1.584766234 1
6.2%
1.208246674 1
6.2%
1.125321306 1
6.2%
1.103443588 1
6.2%

stockvwretd
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3313148762
Minimum-1.136979454
Maximum1.057234405
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:56:09.521219image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.136979454
5-th percentile-0.6655536698
Q1-0.1118890165
median0.5388267329
Q30.7606920405
95-th percentile1.043640927
Maximum1.057234405
Range2.194213858
Interquartile range (IQR)0.872581057

Descriptive statistics

Standard deviation0.6348324832
Coefficient of variation (CV)1.916100148
Kurtosis0.177778689
Mean0.3313148762
Median Absolute Deviation (MAD)0.423165741
Skewness-0.8579461877
Sum5.301038019
Variance0.4030122818
MonotonicityNot monotonic
2025-03-30T10:56:09.955989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.6891804756 1
 
6.2%
0.1754841955 1
 
6.2%
-0.3309145277 1
 
6.2%
0.2475217283 1
 
6.2%
-0.08675062874 1
 
6.2%
-1.136979454 1
 
6.2%
1.039109768 1
 
6.2%
0.5300931191 1
 
6.2%
0.9817246742 1
 
6.2%
-0.1873041798 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.136979454 1
6.2%
-0.5084117418 1
6.2%
-0.3309145277 1
6.2%
-0.1873041798 1
6.2%
-0.08675062874 1
6.2%
ValueCountFrequency (%)
1.057234405 1
6.2%
1.039109768 1
6.2%
0.9817246742 1
6.2%
0.9422602735 1
6.2%
0.7001692962 1
6.2%

stockvwretx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4366575075
Minimum-1.508452322
Maximum2.96086969
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:56:10.362388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.508452322
5-th percentile-1.056001761
Q1-0.04840846096
median0.2824304739
Q30.9695995776
95-th percentile1.871265157
Maximum2.96086969
Range4.469322012
Interquartile range (IQR)1.018008039

Descriptive statistics

Standard deviation1.053434419
Coefficient of variation (CV)2.412495836
Kurtosis1.256721157
Mean0.4366575075
Median Absolute Deviation (MAD)0.5965876556
Skewness0.5003467726
Sum6.98652012
Variance1.109724075
MonotonicityNot monotonic
2025-03-30T10:56:10.811827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.1030415658 1
 
6.2%
0.955629273 1
 
6.2%
1.011510491 1
 
6.2%
0.01273790663 1
 
6.2%
-1.508452322 1
 
6.2%
0.461819382 1
 
6.2%
2.96086969 1
 
6.2%
0.802406986 1
 
6.2%
-0.008102414008 1
 
6.2%
-0.9051849071 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.508452322 1
6.2%
-0.9051849071 1
6.2%
-0.4420371484 1
6.2%
-0.1693266018 1
6.2%
-0.008102414008 1
6.2%
ValueCountFrequency (%)
2.96086969 1
6.2%
1.508063646 1
6.2%
1.398001531 1
6.2%
1.011510491 1
6.2%
0.955629273 1
6.2%

stockvwTotVal
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1480027887
Minimum-1.682586887
Maximum1.595693733
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:11.213567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.682586887
5-th percentile-1.452993864
Q1-0.7533453507
median-0.03514099963
Q30.3509358146
95-th percentile1.050761361
Maximum1.595693733
Range3.278280621
Interquartile range (IQR)1.104281165

Descriptive statistics

Standard deviation0.8934922747
Coefficient of variation (CV)-6.036996212
Kurtosis-0.3478155127
Mean-0.1480027887
Median Absolute Deviation (MAD)0.51683628
Skewness-0.04386892102
Sum-2.368044619
Variance0.7983284449
MonotonicityNot monotonic
2025-03-30T10:56:11.626784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.6156879254 1
 
6.2%
0.7634255545 1
 
6.2%
0.2680319871 1
 
6.2%
-1.682586887 1
 
6.2%
-0.01143391663 1
 
6.2%
-1.376462856 1
 
6.2%
-1.228479897 1
 
6.2%
-0.05884808263 1
 
6.2%
1.595693733 1
 
6.2%
0.3285862079 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.682586887 1
6.2%
-1.376462856 1
6.2%
-1.228479897 1
6.2%
-1.166317627 1
6.2%
-0.6156879254 1
6.2%
ValueCountFrequency (%)
1.595693733 1
6.2%
0.869117237 1
6.2%
0.7634255545 1
6.2%
0.4179846346 1
6.2%
0.3285862079 1
6.2%

stockvwUsdVal
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4250851679
Minimum-1.932497725
Maximum1.516135897
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)68.8%
Memory size256.0 B
2025-03-30T10:56:12.040681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.932497725
5-th percentile-1.688912581
Q1-1.195307981
median-0.3910821258
Q30.2223309192
95-th percentile1.145071328
Maximum1.516135897
Range3.448633622
Interquartile range (IQR)1.4176389

Descriptive statistics

Standard deviation0.9589348648
Coefficient of variation (CV)-2.255865265
Kurtosis-0.2868176762
Mean-0.4250851679
Median Absolute Deviation (MAD)0.7060111308
Skewness0.3202998798
Sum-6.801362686
Variance0.9195560749
MonotonicityNot monotonic
2025-03-30T10:56:12.468135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.932497725 1
 
6.2%
-1.365979707 1
 
6.2%
0.3175284278 1
 
6.2%
-0.2961881996 1
 
6.2%
-1.607717533 1
 
6.2%
-0.4071890042 1
 
6.2%
-0.540066253 1
 
6.2%
0.3123295821 1
 
6.2%
-0.3749752474 1
 
6.2%
-0.7115109706 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.932497725 1
6.2%
-1.607717533 1
6.2%
-1.540622787 1
6.2%
-1.365979707 1
6.2%
-1.138417405 1
6.2%
ValueCountFrequency (%)
1.516135897 1
6.2%
1.021383139 1
6.2%
0.3175284278 1
6.2%
0.3123295821 1
6.2%
0.192331365 1
6.2%

stockvwTotCnt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01790409349
Minimum-1.592945048
Maximum1.108038209
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:56:12.896681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.592945048
5-th percentile-1.15886672
Q1-0.548034737
median0.06139578603
Q30.7265513608
95-th percentile1.062829826
Maximum1.108038209
Range2.700983258
Interquartile range (IQR)1.274586098

Descriptive statistics

Standard deviation0.8010145974
Coefficient of variation (CV)44.73918761
Kurtosis-0.6354939
Mean0.01790409349
Median Absolute Deviation (MAD)0.6669869915
Skewness-0.448021592
Sum0.2864654958
Variance0.6416243853
MonotonicityNot monotonic
2025-03-30T10:56:13.386126image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.592945048 1
 
6.2%
0.7573697585 1
 
6.2%
0.08662269221 1
 
6.2%
-1.000412782 1
 
6.2%
0.03450356523 1
 
6.2%
-0.2081957676 1
 
6.2%
-1.014173944 1
 
6.2%
1.047760364 1
 
6.2%
0.1145836906 1
 
6.2%
0.5606803735 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.592945048 1
6.2%
-1.014173944 1
6.2%
-1.000412782 1
6.2%
-0.6176954214 1
6.2%
-0.5248145089 1
6.2%
ValueCountFrequency (%)
1.108038209 1
6.2%
1.047760364 1
6.2%
0.7826968722 1
6.2%
0.7573697585 1
6.2%
0.7162785616 1
6.2%

stockvwUsdCnt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2210428312
Minimum-2.6885253
Maximum1.985637686
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:56:13.799980image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.6885253
5-th percentile-1.484556805
Q1-0.7918821629
median0.5425106454
Q31.180218886
95-th percentile1.732411514
Maximum1.985637686
Range4.674162986
Interquartile range (IQR)1.972101048

Descriptive statistics

Standard deviation1.235074163
Coefficient of variation (CV)5.587487985
Kurtosis0.4052053458
Mean0.2210428312
Median Absolute Deviation (MAD)0.7828195735
Skewness-0.7375462954
Sum3.536685299
Variance1.525408189
MonotonicityNot monotonic
2025-03-30T10:56:14.259168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.05509649266 1
 
6.2%
0.7125038395 1
 
6.2%
0.4367152482 1
 
6.2%
-1.083233974 1
 
6.2%
-2.6885253 1
 
6.2%
-0.883853993 1
 
6.2%
1.371159554 1
 
6.2%
1.64800279 1
 
6.2%
1.147651417 1
 
6.2%
1.985637686 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.6885253 1
6.2%
-1.083233974 1
6.2%
-0.883853993 1
6.2%
-0.8429381929 1
6.2%
-0.7748634862 1
6.2%
ValueCountFrequency (%)
1.985637686 1
6.2%
1.64800279 1
6.2%
1.371159554 1
6.2%
1.27792129 1
6.2%
1.147651417 1
6.2%

stockewretd
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1543209575
Minimum-1.87872396
Maximum1.58987689
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:56:14.639612image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.87872396
5-th percentile-1.602876787
Q1-0.9202394395
median-0.05367206594
Q30.5121650577
95-th percentile1.462297138
Maximum1.58987689
Range3.46860085
Interquartile range (IQR)1.432404497

Descriptive statistics

Standard deviation1.042519587
Coefficient of variation (CV)-6.755528241
Kurtosis-0.926144521
Mean-0.1543209575
Median Absolute Deviation (MAD)0.7238666444
Skewness0.03872878381
Sum-2.46913532
Variance1.086847088
MonotonicityNot monotonic
2025-03-30T10:56:15.061350image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.87872396 1
 
6.2%
-0.7255155485 1
 
6.2%
0.3300678108 1
 
6.2%
1.419770554 1
 
6.2%
0.233960153 1
 
6.2%
-0.0689397962 1
 
6.2%
-0.8153381098 1
 
6.2%
-1.234943429 1
 
6.2%
1.58987689 1
 
6.2%
-1.283476071 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.87872396 1
6.2%
-1.51092773 1
6.2%
-1.283476071 1
6.2%
-1.234943429 1
6.2%
-0.8153381098 1
6.2%
ValueCountFrequency (%)
1.58987689 1
6.2%
1.419770554 1
6.2%
0.942019157 1
6.2%
0.632395179 1
6.2%
0.4720883506 1
6.2%

stockewretx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3647984107
Minimum-2.827101441
Maximum1.260109532
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:15.499178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.827101441
5-th percentile-1.846032654
Q1-0.7409427995
median-0.2195323039
Q30.221669493
95-th percentile0.9738536902
Maximum1.260109532
Range4.087210973
Interquartile range (IQR)0.9626122925

Descriptive statistics

Standard deviation0.989614574
Coefficient of variation (CV)-2.712771068
Kurtosis1.441823854
Mean-0.3647984107
Median Absolute Deviation (MAD)0.4572619777
Skewness-0.8339421266
Sum-5.836774571
Variance0.9793370052
MonotonicityNot monotonic
2025-03-30T10:56:15.977279image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.230053027 1
 
6.2%
1.260109532 1
 
6.2%
-0.4983930877 1
 
6.2%
0.2698500355 1
 
6.2%
0.8784350762 1
 
6.2%
-1.519009725 1
 
6.2%
0.3438043235 1
 
6.2%
-0.1835115596 1
 
6.2%
-1.221370917 1
 
6.2%
-0.2352299939 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.827101441 1
6.2%
-1.519009725 1
6.2%
-1.230053027 1
6.2%
-1.221370917 1
6.2%
-0.5808000935 1
6.2%
ValueCountFrequency (%)
1.260109532 1
6.2%
0.8784350762 1
6.2%
0.3438043235 1
6.2%
0.2698500355 1
6.2%
0.2056093121 1
6.2%

stockewTotVal
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2274694605
Minimum-1.683152806
Maximum1.492561158
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)75.0%
Memory size256.0 B
2025-03-30T10:56:16.406544image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.683152806
5-th percentile-1.654531703
Q1-0.6947800506
median-0.2472133695
Q30.0778643268
95-th percentile1.321878788
Maximum1.492561158
Range3.175713964
Interquartile range (IQR)0.7726443774

Descriptive statistics

Standard deviation0.9374800117
Coefficient of variation (CV)-4.121344507
Kurtosis-0.3453257419
Mean-0.2274694605
Median Absolute Deviation (MAD)0.4862148874
Skewness0.254002846
Sum-3.639511368
Variance0.8788687723
MonotonicityNot monotonic
2025-03-30T10:56:16.802522image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.06403686177 1
 
6.2%
-1.683152806 1
 
6.2%
0.4004821342 1
 
6.2%
-0.02967494233 1
 
6.2%
-1.063277281 1
 
6.2%
1.492561158 1
 
6.2%
1.264984665 1
 
6.2%
0.9716667675 1
 
6.2%
-0.2344822366 1
 
6.2%
-0.3857569996 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.683152806 1
6.2%
-1.644991335 1
6.2%
-1.251842959 1
6.2%
-1.063277281 1
6.2%
-0.5719476406 1
6.2%
ValueCountFrequency (%)
1.492561158 1
6.2%
1.264984665 1
6.2%
0.9716667675 1
6.2%
0.4004821342 1
6.2%
-0.02967494233 1
6.2%

stockewUsdVal
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.118565094
Minimum-2.366120514
Maximum1.473949701
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:56:17.238618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.366120514
5-th percentile-1.736272207
Q1-0.7281546849
median-0.02714754553
Q30.7117917957
95-th percentile1.21587537
Maximum1.473949701
Range3.840070215
Interquartile range (IQR)1.439946481

Descriptive statistics

Standard deviation1.081510989
Coefficient of variation (CV)-9.121664332
Kurtosis-0.4562776149
Mean-0.118565094
Median Absolute Deviation (MAD)0.7867820556
Skewness-0.4144613869
Sum-1.897041505
Variance1.16966602
MonotonicityNot monotonic
2025-03-30T10:56:17.701180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.4768625849 1
 
6.2%
0.2251036592 1
 
6.2%
-0.6625441003 1
 
6.2%
-1.526322771 1
 
6.2%
0.9014341651 1
 
6.2%
-2.366120514 1
 
6.2%
-1.279046251 1
 
6.2%
1.129850592 1
 
6.2%
0.6485776726 1
 
6.2%
-0.9249864387 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.366120514 1
6.2%
-1.526322771 1
6.2%
-1.279046251 1
6.2%
-0.9249864387 1
6.2%
-0.6625441003 1
6.2%
ValueCountFrequency (%)
1.473949701 1
6.2%
1.129850592 1
6.2%
1.121676319 1
6.2%
0.9014341651 1
6.2%
0.6485776726 1
6.2%

stockewTotCnt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2142236526
Minimum-2.689042515
Maximum1.964654412
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:56:18.148215image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.689042515
5-th percentile-1.60951524
Q1-0.6573215286
median-0.1081419114
Q30.0779250604
95-th percentile1.478522711
Maximum1.964654412
Range4.653696927
Interquartile range (IQR)0.735246589

Descriptive statistics

Standard deviation1.045824517
Coefficient of variation (CV)-4.881928325
Kurtosis1.952040136
Mean-0.2142236526
Median Absolute Deviation (MAD)0.352191952
Skewness-0.2196210649
Sum-3.427578441
Variance1.093748921
MonotonicityNot monotonic
2025-03-30T10:56:18.553574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.316478811 1
 
6.2%
-0.09451069608 1
 
6.2%
0.3618568656 1
 
6.2%
1.964654412 1
 
6.2%
0.1002419648 1
 
6.2%
-0.6418628561 1
 
6.2%
-0.2288273059 1
 
6.2%
0.0442996614 1
 
6.2%
-1.227256009 1
 
6.2%
0.01357365938 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.689042515 1
6.2%
-1.249672815 1
6.2%
-1.227256009 1
6.2%
-0.7036975462 1
6.2%
-0.6418628561 1
6.2%
ValueCountFrequency (%)
1.964654412 1
6.2%
1.316478811 1
6.2%
0.3618568656 1
6.2%
0.1002419648 1
6.2%
0.07048609226 1
6.2%

stockewUsdCnt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04786982399
Minimum-1.575303279
Maximum1.44818432
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:56:18.918184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.575303279
5-th percentile-1.192606573
Q1-0.2605363282
median0.06407826183
Q30.4905554217
95-th percentile1.008974266
Maximum1.44818432
Range3.023487599
Interquartile range (IQR)0.7510917499

Descriptive statistics

Standard deviation0.7379233671
Coefficient of variation (CV)15.41520953
Kurtosis0.7007579095
Mean0.04786982399
Median Absolute Deviation (MAD)0.440093613
Skewness-0.4284486753
Sum0.7659171838
Variance0.5445308957
MonotonicityNot monotonic
2025-03-30T10:56:19.383710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.2037825214 1
 
6.2%
0.5599514273 1
 
6.2%
-0.09171068287 1
 
6.2%
-0.02473562469 1
 
6.2%
-0.5311209383 1
 
6.2%
0.5314047812 1
 
6.2%
-1.065041004 1
 
6.2%
-0.2116995898 1
 
6.2%
0.862570914 1
 
6.2%
0.444833733 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.575303279 1
6.2%
-1.065041004 1
6.2%
-0.5311209383 1
6.2%
-0.4070465432 1
6.2%
-0.2116995898 1
6.2%
ValueCountFrequency (%)
1.44818432 1
6.2%
0.862570914 1
6.2%
0.5599514273 1
6.2%
0.5314047812 1
6.2%
0.4769389685 1
6.2%

stocksprtrn
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1394654462
Minimum-1.763054576
Maximum3.075585532
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:19.841949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.763054576
5-th percentile-1.200080143
Q1-0.4821851625
median0.1516391021
Q30.5595383646
95-th percentile1.578684138
Maximum3.075585532
Range4.838640108
Interquartile range (IQR)1.041723527

Descriptive statistics

Standard deviation1.108169024
Coefficient of variation (CV)7.945832134
Kurtosis2.423992349
Mean0.1394654462
Median Absolute Deviation (MAD)0.5660722862
Skewness0.9339708168
Sum2.231447139
Variance1.228038586
MonotonicityNot monotonic
2025-03-30T10:56:20.296292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.03561434109 1
 
6.2%
-1.763054576 1
 
6.2%
-0.654875974 1
 
6.2%
-1.012421999 1
 
6.2%
0.3623150012 1
 
6.2%
-0.4246215587 1
 
6.2%
0.440607257 1
 
6.2%
0.2676638632 1
 
6.2%
-0.3688082485 1
 
6.2%
0.5102101482 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.763054576 1
6.2%
-1.012421999 1
6.2%
-0.9496845733 1
6.2%
-0.654875974 1
6.2%
-0.4246215587 1
6.2%
ValueCountFrequency (%)
3.075585532 1
6.2%
1.079717007 1
6.2%
1.070566308 1
6.2%
0.7075230137 1
6.2%
0.5102101482 1
6.2%

ustreb30ret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4089247569
Minimum-1.175913516
Maximum2.003206949
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:20.702186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.175913516
5-th percentile-0.9851559278
Q1-0.293172958
median0.191799044
Q31.293100168
95-th percentile1.834688315
Maximum2.003206949
Range3.179120465
Interquartile range (IQR)1.586273126

Descriptive statistics

Standard deviation0.9896473565
Coefficient of variation (CV)2.420120914
Kurtosis-1.079470181
Mean0.4089247569
Median Absolute Deviation (MAD)0.5560073454
Skewness0.2357924946
Sum6.54279611
Variance0.9794018902
MonotonicityNot monotonic
2025-03-30T10:56:21.128587image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.3235623092 1
 
6.2%
1.200273977 1
 
6.2%
-0.9215700652 1
 
6.2%
1.685133501 1
 
6.2%
-0.1529873695 1
 
6.2%
2.003206949 1
 
6.2%
-1.175913516 1
 
6.2%
0.7705010184 1
 
6.2%
1.571578739 1
 
6.2%
-0.0803006022 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.175913516 1
6.2%
-0.9215700652 1
6.2%
-0.3415136723 1
6.2%
-0.3235623092 1
6.2%
-0.2830431743 1
6.2%
ValueCountFrequency (%)
2.003206949 1
6.2%
1.778515436 1
6.2%
1.685133501 1
6.2%
1.571578739 1
6.2%
1.200273977 1
6.2%

ustreb30ind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.150868744
Minimum-1.551193837
Maximum1.337992371
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:56:21.574100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.551193837
5-th percentile-1.522821508
Q1-0.901838271
median-0.0106005633
Q30.5347488188
95-th percentile1.288941349
Maximum1.337992371
Range2.889186208
Interquartile range (IQR)1.43658709

Descriptive statistics

Standard deviation0.9789933846
Coefficient of variation (CV)-6.489040466
Kurtosis-1.41358648
Mean-0.150868744
Median Absolute Deviation (MAD)0.7621321722
Skewness-0.03214601819
Sum-2.413899903
Variance0.9584280471
MonotonicityNot monotonic
2025-03-30T10:56:21.950038image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.272591008 1
 
6.2%
0.4394038449 1
 
6.2%
-0.806961054 1
 
6.2%
0.5121284867 1
 
6.2%
0.3227022532 1
 
6.2%
0.602609815 1
 
6.2%
1.337992371 1
 
6.2%
-0.3439033798 1
 
6.2%
-1.551193837 1
 
6.2%
-1.513364065 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.551193837 1
6.2%
-1.513364065 1
6.2%
-1.30818893 1
6.2%
-1.186469922 1
6.2%
-0.806961054 1
6.2%
ValueCountFrequency (%)
1.337992371 1
6.2%
1.272591008 1
6.2%
0.7459864967 1
6.2%
0.602609815 1
6.2%
0.5121284867 1
6.2%

ustreb20ret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1816960193
Minimum-2.115511471
Maximum0.9717814778
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:56:22.348503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.115511471
5-th percentile-1.840554404
Q1-0.6998094662
median0.02998331326
Q30.5425228764
95-th percentile0.7194814054
Maximum0.9717814778
Range3.087292949
Interquartile range (IQR)1.242332343

Descriptive statistics

Standard deviation0.8827928893
Coefficient of variation (CV)-4.858625371
Kurtosis0.1986764643
Mean-0.1816960193
Median Absolute Deviation (MAD)0.5927671916
Skewness-0.8865439644
Sum-2.907136309
Variance0.7793232855
MonotonicityNot monotonic
2025-03-30T10:56:22.762676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-2.115511471 1
 
6.2%
0.9717814778 1
 
6.2%
-1.748902048 1
 
6.2%
0.2818131486 1
 
6.2%
-0.1379609226 1
 
6.2%
0.6353813812 1
 
6.2%
-0.6842000996 1
 
6.2%
-0.4440436755 1
 
6.2%
0.2945159896 1
 
6.2%
0.1979275491 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.115511471 1
6.2%
-1.748902048 1
6.2%
-0.8670432275 1
6.2%
-0.746637566 1
6.2%
-0.6842000996 1
6.2%
ValueCountFrequency (%)
0.9717814778 1
6.2%
0.6353813812 1
6.2%
0.6263969331 1
6.2%
0.6191040766 1
6.2%
0.5169958096 1
6.2%

ustreb20ind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5596845706
Minimum-2.203778504
Maximum0.741456487
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)81.2%
Memory size256.0 B
2025-03-30T10:56:23.158183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.203778504
5-th percentile-1.66208548
Q1-1.125474491
median-0.5642764201
Q3-0.01391277367
95-th percentile0.4839449725
Maximum0.741456487
Range2.945234991
Interquartile range (IQR)1.111561718

Descriptive statistics

Standard deviation0.7697412424
Coefficient of variation (CV)-1.375312601
Kurtosis-0.1096599772
Mean-0.5596845706
Median Absolute Deviation (MAD)0.5542797619
Skewness-0.3205258006
Sum-8.95495313
Variance0.5925015802
MonotonicityNot monotonic
2025-03-30T10:56:23.564578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.112074818 1
 
6.2%
-1.171484089 1
 
6.2%
-1.481521139 1
 
6.2%
-0.02776013664 1
 
6.2%
-2.203778504 1
 
6.2%
-0.739687564 1
 
6.2%
-0.4431677278 1
 
6.2%
0.741456487 1
 
6.2%
-1.16567351 1
 
6.2%
-0.9117667358 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.203778504 1
6.2%
-1.481521139 1
6.2%
-1.171484089 1
6.2%
-1.16567351 1
6.2%
-1.112074818 1
6.2%
ValueCountFrequency (%)
0.741456487 1
6.2%
0.398107801 1
6.2%
0.1767073512 1
6.2%
-0.003515294656 1
6.2%
-0.01737860001 1
6.2%

ustreb10ret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.176707998
Minimum-1.498143395
Maximum2.535375748
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:56:23.970876image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.498143395
5-th percentile-1.379352289
Q1-0.2863498693
median0.09020160532
Q30.8201503263
95-th percentile1.813196056
Maximum2.535375748
Range4.033519143
Interquartile range (IQR)1.106500196

Descriptive statistics

Standard deviation1.039515107
Coefficient of variation (CV)5.882671521
Kurtosis0.5927018181
Mean0.176707998
Median Absolute Deviation (MAD)0.6805318251
Skewness0.4646544663
Sum2.827327968
Variance1.080591658
MonotonicityNot monotonic
2025-03-30T10:56:24.416772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2.535375748 1
 
6.2%
-0.08305129484 1
 
6.2%
0.9474315655 1
 
6.2%
-0.9257208874 1
 
6.2%
0.8117933142 1
 
6.2%
-0.1987097137 1
 
6.2%
-1.339755253 1
 
6.2%
-0.5492703361 1
 
6.2%
0.8452213628 1
 
6.2%
0.1808526093 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.498143395 1
6.2%
-1.339755253 1
6.2%
-0.9257208874 1
6.2%
-0.5492703361 1
6.2%
-0.1987097137 1
6.2%
ValueCountFrequency (%)
2.535375748 1
6.2%
1.572469492 1
6.2%
0.9474315655 1
6.2%
0.8452213628 1
6.2%
0.8117933142 1
6.2%

ustreb10ind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1017208003
Minimum-1.9770807
Maximum1.402623199
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:24.838888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.9770807
5-th percentile-1.469364707
Q1-0.6293467642
median0.5127963759
Q30.900435016
95-th percentile1.146687302
Maximum1.402623199
Range3.379703898
Interquartile range (IQR)1.52978178

Descriptive statistics

Standard deviation1.025871967
Coefficient of variation (CV)10.08517397
Kurtosis-0.8296771465
Mean0.1017208003
Median Absolute Deviation (MAD)0.5631200935
Skewness-0.6441960797
Sum1.627532805
Variance1.052413293
MonotonicityNot monotonic
2025-03-30T10:56:25.266891image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.9770807 1
 
6.2%
-0.06486485037 1
 
6.2%
1.402623199 1
 
6.2%
-1.153470051 1
 
6.2%
0.6369342294 1
 
6.2%
-1.300126043 1
 
6.2%
0.9636118109 1
 
6.2%
0.9645989186 1
 
6.2%
0.3886585224 1
 
6.2%
1.061375337 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.9770807 1
6.2%
-1.300126043 1
6.2%
-1.153470051 1
6.2%
-0.812332135 1
6.2%
-0.5683516407 1
6.2%
ValueCountFrequency (%)
1.402623199 1
6.2%
1.061375337 1
6.2%
0.9645989186 1
6.2%
0.9636118109 1
6.2%
0.8793760844 1
6.2%

ustreb7ret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03490923084
Minimum-1.497759933
Maximum1.442106117
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:56:25.688796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.497759933
5-th percentile-1.332227209
Q1-0.2846145791
median0.1574732505
Q30.4948459635
95-th percentile1.14971848
Maximum1.442106117
Range2.93986605
Interquartile range (IQR)0.7794605426

Descriptive statistics

Standard deviation0.8526920717
Coefficient of variation (CV)24.42597706
Kurtosis-0.510003575
Mean0.03490923084
Median Absolute Deviation (MAD)0.3954287824
Skewness-0.3880599964
Sum0.5585476935
Variance0.7270837692
MonotonicityNot monotonic
2025-03-30T10:56:26.113959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.442106117 1
 
6.2%
0.1885220929 1
 
6.2%
0.436789894 1
 
6.2%
-1.005146255 1
 
6.2%
-1.277049635 1
 
6.2%
0.1264244081 1
 
6.2%
0.1121857591 1
 
6.2%
-0.04242670562 1
 
6.2%
1.052255934 1
 
6.2%
0.2006851751 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.497759933 1
6.2%
-1.277049635 1
6.2%
-1.034163212 1
6.2%
-1.005146255 1
6.2%
-0.04443735395 1
6.2%
ValueCountFrequency (%)
1.442106117 1
6.2%
1.052255934 1
6.2%
0.9899467122 1
6.2%
0.6690141719 1
6.2%
0.436789894 1
6.2%

ustreb7ind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2416399625
Minimum-2.912134379
Maximum1.619054031
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:26.549036image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.912134379
5-th percentile-1.94942732
Q1-0.9736724009
median-0.1951203542
Q30.6906994151
95-th percentile1.456459448
Maximum1.619054031
Range4.53118841
Interquartile range (IQR)1.664371816

Descriptive statistics

Standard deviation1.212568471
Coefficient of variation (CV)-5.018079203
Kurtosis0.03836817878
Mean-0.2416399625
Median Absolute Deviation (MAD)0.890554251
Skewness-0.4842594315
Sum-3.866239401
Variance1.470322296
MonotonicityNot monotonic
2025-03-30T10:56:26.955249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.06025136786 1
 
6.2%
0.6859649334 1
 
6.2%
-0.602797009 1
 
6.2%
0.4957842753 1
 
6.2%
0.8178578782 1
 
6.2%
1.402261254 1
 
6.2%
-0.8200912815 1
 
6.2%
0.7049028602 1
 
6.2%
-2.912134379 1
 
6.2%
-0.1718287724 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.912134379 1
6.2%
-1.628524967 1
6.2%
-1.460125075 1
6.2%
-1.434415759 1
6.2%
-0.8200912815 1
6.2%
ValueCountFrequency (%)
1.619054031 1
6.2%
1.402261254 1
6.2%
0.8178578782 1
6.2%
0.7049028602 1
6.2%
0.6859649334 1
6.2%

ustreb5ret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.218257934
Minimum-1.93674349
Maximum2.365646695
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:27.365880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.93674349
5-th percentile-1.749132842
Q1-1.311512761
median-0.5782390274
Q30.6284011356
95-th percentile2.122398698
Maximum2.365646695
Range4.302390185
Interquartile range (IQR)1.939913896

Descriptive statistics

Standard deviation1.34644001
Coefficient of variation (CV)-6.169031225
Kurtosis-0.6871576946
Mean-0.218257934
Median Absolute Deviation (MAD)1.055491742
Skewness0.6278520226
Sum-3.492126945
Variance1.812900701
MonotonicityNot monotonic
2025-03-30T10:56:27.772207image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2.041316032 1
 
6.2%
1.352244142 1
 
6.2%
-0.7916586585 1
 
6.2%
-0.5507270178 1
 
6.2%
-0.605751037 1
 
6.2%
2.365646695 1
 
6.2%
-1.604457266 1
 
6.2%
-0.4111221727 1
 
6.2%
0.8348666489 1
 
6.2%
-1.68659596 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.93674349 1
6.2%
-1.68659596 1
6.2%
-1.604457266 1
6.2%
-1.486132673 1
6.2%
-1.253306123 1
6.2%
ValueCountFrequency (%)
2.365646695 1
6.2%
2.041316032 1
6.2%
1.352244142 1
6.2%
0.8348666489 1
6.2%
0.5595792978 1
6.2%

ustreb5ind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09202407475
Minimum-1.680154048
Maximum1.303974371
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:56:28.172907image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.680154048
5-th percentile-1.567481686
Q1-0.6260880814
median-0.1344184208
Q30.7202311215
95-th percentile1.045575624
Maximum1.303974371
Range2.984128418
Interquartile range (IQR)1.346319203

Descriptive statistics

Standard deviation0.9051837523
Coefficient of variation (CV)-9.836379826
Kurtosis-0.9348844113
Mean-0.09202407475
Median Absolute Deviation (MAD)0.7916954967
Skewness-0.2270814926
Sum-1.472385196
Variance0.8193576254
MonotonicityNot monotonic
2025-03-30T10:56:28.564821image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.529924232 1
 
6.2%
-0.1380356219 1
 
6.2%
0.8797684959 1
 
6.2%
-0.5090017618 1
 
6.2%
-1.680154048 1
 
6.2%
0.5084011208 1
 
6.2%
-0.5441905186 1
 
6.2%
0.7460938151 1
 
6.2%
0.2229865388 1
 
6.2%
-0.1308012198 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.680154048 1
6.2%
-1.529924232 1
6.2%
-0.9864699065 1
6.2%
-0.8717807697 1
6.2%
-0.5441905186 1
6.2%
ValueCountFrequency (%)
1.303974371 1
6.2%
0.959442709 1
6.2%
0.8797684959 1
6.2%
0.7460938151 1
6.2%
0.7116102237 1
6.2%

ustreb2ret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1781517661
Minimum-2.03350067
Maximum1.915552372
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:29.494272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.03350067
5-th percentile-1.413231383
Q1-0.8159931358
median-0.439167093
Q30.2758752156
95-th percentile1.743662187
Maximum1.915552372
Range3.949053042
Interquartile range (IQR)1.091868351

Descriptive statistics

Standard deviation1.046200283
Coefficient of variation (CV)-5.872522659
Kurtosis0.1997976236
Mean-0.1781517661
Median Absolute Deviation (MAD)0.6365501216
Skewness0.5374753804
Sum-2.850428257
Variance1.094535032
MonotonicityNot monotonic
2025-03-30T10:56:29.954341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.8876693114 1
 
6.2%
-0.7895068513 1
 
6.2%
-0.5008936957 1
 
6.2%
0.2320940847 1
 
6.2%
1.686365459 1
 
6.2%
-0.5459360004 1
 
6.2%
1.915552372 1
 
6.2%
-0.895451989 1
 
6.2%
-0.6394387807 1
 
6.2%
-1.123162326 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.03350067 1
6.2%
-1.206474954 1
6.2%
-1.123162326 1
6.2%
-0.895451989 1
6.2%
-0.7895068513 1
6.2%
ValueCountFrequency (%)
1.915552372 1
6.2%
1.686365459 1
6.2%
0.8876693114 1
6.2%
0.4072186082 1
6.2%
0.2320940847 1
6.2%

ustreb2ind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6879700085
Minimum-4.054050085
Maximum1.711557921
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:30.367525image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-4.054050085
5-th percentile-2.776196033
Q1-1.820667038
median-0.4763444029
Q30.6436545079
95-th percentile1.418188941
Maximum1.711557921
Range5.765608006
Interquartile range (IQR)2.464321546

Descriptive statistics

Standard deviation1.569644169
Coefficient of variation (CV)-2.281559006
Kurtosis-0.3148818579
Mean-0.6879700085
Median Absolute Deviation (MAD)1.248676137
Skewness-0.3670359066
Sum-11.00752014
Variance2.463782817
MonotonicityNot monotonic
2025-03-30T10:56:30.749099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.320399281 1
 
6.2%
-1.336980896 1
 
6.2%
-0.5968049059 1
 
6.2%
-2.002052984 1
 
6.2%
-0.3558838999 1
 
6.2%
0.09213114833 1
 
6.2%
-1.760205056 1
 
6.2%
0.6507410371 1
 
6.2%
-4.054050085 1
 
6.2%
1.711557921 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-4.054050085 1
6.2%
-2.350244682 1
6.2%
-2.006930329 1
6.2%
-2.002052984 1
6.2%
-1.760205056 1
6.2%
ValueCountFrequency (%)
1.711557921 1
6.2%
1.320399281 1
6.2%
0.8786516754 1
6.2%
0.6507410371 1
6.2%
0.6412923315 1
6.2%

ustreb1ret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1804666402
Minimum-1.86255189
Maximum1.093359033
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:31.170502image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.86255189
5-th percentile-1.553721783
Q1-0.7660082293
median-0.3994508495
Q30.8932713556
95-th percentile1.083583914
Maximum1.093359033
Range2.955910923
Interquartile range (IQR)1.659279585

Descriptive statistics

Standard deviation0.9597614439
Coefficient of variation (CV)-5.318220824
Kurtosis-1.178807713
Mean-0.1804666402
Median Absolute Deviation (MAD)0.7291314428
Skewness0.01078986432
Sum-2.887466243
Variance0.9211420293
MonotonicityNot monotonic
2025-03-30T10:56:31.566997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.093359033 1
 
6.2%
-1.086586509 1
 
6.2%
-1.86255189 1
 
6.2%
1.080325541 1
 
6.2%
-0.7658596426 1
 
6.2%
-0.1023856276 1
 
6.2%
-1.450778414 1
 
6.2%
-0.7280521795 1
 
6.2%
0.3716763769 1
 
6.2%
-0.6643087043 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.86255189 1
6.2%
-1.450778414 1
6.2%
-1.086586509 1
6.2%
-0.7664539895 1
6.2%
-0.7658596426 1
6.2%
ValueCountFrequency (%)
1.093359033 1
6.2%
1.080325541 1
6.2%
0.9926730544 1
6.2%
0.9140248992 1
6.2%
0.8863535078 1
6.2%

ustreb1ind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2168757768
Minimum-1.928876983
Maximum1.464512571
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:56:31.956230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.928876983
5-th percentile-0.8761782489
Q1-0.1624113096
median0.2760290788
Q30.6644152716
95-th percentile1.337915359
Maximum1.464512571
Range3.393389554
Interquartile range (IQR)0.8268265812

Descriptive statistics

Standard deviation0.81007747
Coefficient of variation (CV)3.735214149
Kurtosis2.282674708
Mean0.2168757768
Median Absolute Deviation (MAD)0.4666079787
Skewness-0.9958280179
Sum3.470012428
Variance0.6562255074
MonotonicityNot monotonic
2025-03-30T10:56:32.389284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.3775456614 1
 
6.2%
1.464512571 1
 
6.2%
0.8249238852 1
 
6.2%
0.1745124962 1
 
6.2%
-0.525278671 1
 
6.2%
-0.3247690217 1
 
6.2%
0.6109124004 1
 
6.2%
0.04290083374 1
 
6.2%
0.1433646884 1
 
6.2%
0.8652612935 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.928876983 1
6.2%
-0.525278671 1
6.2%
-0.4233605563 1
6.2%
-0.3247690217 1
6.2%
-0.1082920722 1
6.2%
ValueCountFrequency (%)
1.464512571 1
6.2%
1.295716288 1
6.2%
0.8652612935 1
6.2%
0.8249238852 1
6.2%
0.6109124004 1
6.2%

ustret90ret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3488769654
Minimum-2.243239844
Maximum1.022247779
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:56:32.811925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.243239844
5-th percentile-2.098729579
Q1-1.247122253
median0.004286593972
Q30.6711432391
95-th percentile0.9704271611
Maximum1.022247779
Range3.265487623
Interquartile range (IQR)1.918265492

Descriptive statistics

Standard deviation1.16989417
Coefficient of variation (CV)-3.353314451
Kurtosis-1.427047637
Mean-0.3488769654
Median Absolute Deviation (MAD)0.9335992972
Skewness-0.3968282768
Sum-5.582031447
Variance1.368652369
MonotonicityNot monotonic
2025-03-30T10:56:33.223523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-2.050559491 1
 
6.2%
-1.019216092 1
 
6.2%
0.6297607319 1
 
6.2%
0.3296996046 1
 
6.2%
0.4267941306 1
 
6.2%
-2.243239844 1
 
6.2%
0.795290761 1
 
6.2%
-1.12682974 1
 
6.2%
0.9226181606 1
 
6.2%
-0.07866523286 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.243239844 1
6.2%
-2.050559491 1
6.2%
-1.931383665 1
6.2%
-1.607999792 1
6.2%
-1.12682974 1
6.2%
ValueCountFrequency (%)
1.022247779 1
6.2%
0.9531536219 1
6.2%
0.9226181606 1
6.2%
0.795290761 1
6.2%
0.6297607319 1
6.2%

ustret90ind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4176484157
Minimum-1.766382664
Maximum2.00101797
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:56:33.665637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.766382664
5-th percentile-1.064685138
Q1-0.1634266839
median0.5728577275
Q31.215740936
95-th percentile1.644254448
Maximum2.00101797
Range3.767400634
Interquartile range (IQR)1.37916762

Descriptive statistics

Standard deviation0.9955937691
Coefficient of variation (CV)2.383808322
Kurtosis-0.03959534121
Mean0.4176484157
Median Absolute Deviation (MAD)0.6553982692
Skewness-0.543877602
Sum6.682374651
Variance0.991206953
MonotonicityNot monotonic
2025-03-30T10:56:34.145521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2.00101797 1
 
6.2%
0.8989045628 1
 
6.2%
0.8274611346 1
 
6.2%
-0.04582934776 1
 
6.2%
1.247815373 1
 
6.2%
-0.8307859631 1
 
6.2%
0.7712514143 1
 
6.2%
-0.4647632381 1
 
6.2%
-0.06298116579 1
 
6.2%
0.3744640407 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.766382664 1
6.2%
-0.8307859631 1
6.2%
-0.5871283872 1
6.2%
-0.4647632381 1
6.2%
-0.06298116579 1
6.2%
ValueCountFrequency (%)
2.00101797 1
6.2%
1.525333274 1
6.2%
1.26977894 1
6.2%
1.247815373 1
6.2%
1.205049457 1
6.2%

ustret30ret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.307068112
Minimum-1.252733849
Maximum2.330649313
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:56:34.594718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.252733849
5-th percentile-1.08197726
Q1-0.1767057597
median0.2807083001
Q30.6570056151
95-th percentile1.814569167
Maximum2.330649313
Range3.583383162
Interquartile range (IQR)0.8337113749

Descriptive statistics

Standard deviation1.002645996
Coefficient of variation (CV)3.265223437
Kurtosis-0.201278752
Mean0.307068112
Median Absolute Deviation (MAD)0.4619982467
Skewness0.2943529405
Sum4.913089792
Variance1.005298993
MonotonicityNot monotonic
2025-03-30T10:56:35.065734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.5012631222 1
 
6.2%
-1.025058398 1
 
6.2%
-0.9763181573 1
 
6.2%
0.9059268329 1
 
6.2%
2.330649313 1
 
6.2%
1.605550494 1
 
6.2%
0.2804644869 1
 
6.2%
-0.6526140574 1
 
6.2%
0.02172558175 1
 
6.2%
-1.252733849 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.252733849 1
6.2%
-1.025058398 1
6.2%
-0.9763181573 1
6.2%
-0.6526140574 1
6.2%
-0.01806966053 1
6.2%
ValueCountFrequency (%)
2.330649313 1
6.2%
1.642542451 1
6.2%
1.605550494 1
6.2%
0.9059268329 1
6.2%
0.5740318759 1
6.2%

ustret30ind
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3774567092
Minimum-2.447730551
Maximum0.6138971571
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:56:35.510746image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.447730551
5-th percentile-2.047370162
Q1-0.9294642412
median-0.06129124973
Q30.3869304326
95-th percentile0.5745850467
Maximum0.6138971571
Range3.061627708
Interquartile range (IQR)1.316394674

Descriptive statistics

Standard deviation0.9341042771
Coefficient of variation (CV)-2.474732212
Kurtosis0.05569404136
Mean-0.3774567092
Median Absolute Deviation (MAD)0.6190052193
Skewness-0.9274770857
Sum-6.039307348
Variance0.8725508005
MonotonicityNot monotonic
2025-03-30T10:56:35.930452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.8357714773 1
 
6.2%
0.3306642851 1
 
6.2%
-0.00444389455 1
 
6.2%
0.6138971571 1
 
6.2%
-2.447730551 1
 
6.2%
-1.913916699 1
 
6.2%
0.5557288749 1
 
6.2%
0.04953488288 1
 
6.2%
-0.5596624492 1
 
6.2%
0.5614810099 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.447730551 1
6.2%
-1.913916699 1
6.2%
-1.287166149 1
6.2%
-1.210542533 1
6.2%
-0.8357714773 1
6.2%
ValueCountFrequency (%)
0.6138971571 1
6.2%
0.5614810099 1
6.2%
0.5596990642 1
6.2%
0.5557288749 1
6.2%
0.3306642851 1
6.2%

ustrecpiret
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3473058327
Minimum-1.954105103
Maximum1.937743763
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:36.397979image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.954105103
5-th percentile-1.633693192
Q1-1.24033184
median-0.6893507249
Q30.6043342727
95-th percentile1.324879515
Maximum1.937743763
Range3.891848866
Interquartile range (IQR)1.844666113

Descriptive statistics

Standard deviation1.135679655
Coefficient of variation (CV)-3.269970005
Kurtosis-0.7556327157
Mean-0.3473058327
Median Absolute Deviation (MAD)0.7587008579
Skewness0.5519190745
Sum-5.556893322
Variance1.28976828
MonotonicityNot monotonic
2025-03-30T10:56:36.865057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.450636176 1
 
6.2%
-0.2321674046 1
 
6.2%
0.501942188 1
 
6.2%
1.937743763 1
 
6.2%
-1.954105103 1
 
6.2%
0.9203513998 1
 
6.2%
-0.9715599973 1
 
6.2%
1.120591432 1
 
6.2%
-1.237024653 1
 
6.2%
-1.526889222 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.954105103 1
6.2%
-1.526889222 1
6.2%
-1.450636176 1
6.2%
-1.250253402 1
6.2%
-1.237024653 1
6.2%
ValueCountFrequency (%)
1.937743763 1
6.2%
1.120591432 1
6.2%
0.9203513998 1
6.2%
0.9115105269 1
6.2%
0.501942188 1
6.2%

ajexm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2252427668
Minimum-1.585237197
Maximum1.430622206
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:37.302185image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.585237197
5-th percentile-0.9486915396
Q1-0.3868088369
median0.3595589676
Q30.9133654514
95-th percentile1.366787865
Maximum1.430622206
Range3.015859402
Interquartile range (IQR)1.300174288

Descriptive statistics

Standard deviation0.8655660159
Coefficient of variation (CV)3.842813815
Kurtosis-0.4690192339
Mean0.2252427668
Median Absolute Deviation (MAD)0.6843161556
Skewness-0.3402478455
Sum3.603884269
Variance0.7492045279
MonotonicityNot monotonic
2025-03-30T10:56:37.708150image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.430622206 1
 
6.2%
1.043956808 1
 
6.2%
-0.06164404163 1
 
6.2%
-1.585237197 1
 
6.2%
-0.2079029895 1
 
6.2%
1.299608525 1
 
6.2%
0.8698349992 1
 
6.2%
1.345509752 1
 
6.2%
0.4909466876 1
 
6.2%
-0.5732088381 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.585237197 1
6.2%
-0.7365096539 1
6.2%
-0.5976872413 1
6.2%
-0.5732088381 1
6.2%
-0.3246755032 1
6.2%
ValueCountFrequency (%)
1.430622206 1
6.2%
1.345509752 1
6.2%
1.299608525 1
6.2%
1.043956808 1
6.2%
0.8698349992 1
6.2%

ajpm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04737876852
Minimum-1.67964876
Maximum1.97787372
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:56:38.129638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.67964876
5-th percentile-1.573468444
Q1-0.6315217193
median-0.1204127785
Q30.8476943951
95-th percentile1.835832756
Maximum1.97787372
Range3.657522481
Interquartile range (IQR)1.479216114

Descriptive statistics

Standard deviation1.177940146
Coefficient of variation (CV)24.86219425
Kurtosis-0.968425315
Mean0.04737876852
Median Absolute Deviation (MAD)0.7900519172
Skewness0.2538624312
Sum0.7580602963
Variance1.387542988
MonotonicityNot monotonic
2025-03-30T10:56:38.541552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.1644445382 1
 
6.2%
1.686385264 1
 
6.2%
-1.67964876 1
 
6.2%
-0.8539225134 1
 
6.2%
1.97787372 1
 
6.2%
0.726181321 1
 
6.2%
0.06118776479 1
 
6.2%
-0.07638101867 1
 
6.2%
0.4942029379 1
 
6.2%
1.212233617 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.67964876 1
6.2%
-1.538075006 1
6.2%
-1.402473334 1
6.2%
-0.8539225134 1
6.2%
-0.5573881213 1
6.2%
ValueCountFrequency (%)
1.97787372 1
6.2%
1.788485768 1
6.2%
1.686385264 1
6.2%
1.212233617 1
6.2%
0.726181321 1
6.2%

cshtrm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2116716138
Minimum-1.253742539
Maximum1.36441601
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:56:38.963771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.253742539
5-th percentile-1.083504599
Q1-0.3259944827
median0.3164300213
Q30.7381994477
95-th percentile1.303346198
Maximum1.36441601
Range2.618158549
Interquartile range (IQR)1.06419393

Descriptive statistics

Standard deviation0.812525464
Coefficient of variation (CV)3.838613263
Kurtosis-0.8281589631
Mean0.2116716138
Median Absolute Deviation (MAD)0.5694476845
Skewness-0.3944243039
Sum3.38674582
Variance0.6601976297
MonotonicityNot monotonic
2025-03-30T10:56:39.369675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.2033215939 1
 
6.2%
-0.6843818212 1
 
6.2%
0.6734781528 1
 
6.2%
-1.026758619 1
 
6.2%
0.5630999276 1
 
6.2%
1.282989594 1
 
6.2%
-1.253742539 1
 
6.2%
0.216733363 1
 
6.2%
0.5274474611 1
 
6.2%
0.9323633325 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.253742539 1
6.2%
-1.026758619 1
6.2%
-0.7690528078 1
6.2%
-0.6843818212 1
6.2%
-0.2065320365 1
6.2%
ValueCountFrequency (%)
1.36441601 1
6.2%
1.282989594 1
6.2%
1.096046409 1
6.2%
0.9323633325 1
6.2%
0.6734781528 1
6.2%

prccm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1688742956
Minimum-0.7227466063
Maximum1.496774526
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:39.763104image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7227466063
5-th percentile-0.7177066197
Q1-0.3581447625
median0.1112104897
Q30.5707758268
95-th percentile1.276775536
Maximum1.496774526
Range2.219521132
Interquartile range (IQR)0.9289205892

Descriptive statistics

Standard deviation0.6636478202
Coefficient of variation (CV)3.92983324
Kurtosis-0.5265891893
Mean0.1688742956
Median Absolute Deviation (MAD)0.4724696076
Skewness0.5219764824
Sum2.701988729
Variance0.4404284292
MonotonicityNot monotonic
2025-03-30T10:56:40.167708image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.5266022144 1
 
6.2%
0.8875016933 1
 
6.2%
-0.3952443254 1
 
6.2%
0.08715257038 1
 
6.2%
-0.7227466063 1
 
6.2%
-0.09320403541 1
 
6.2%
-0.3550304071 1
 
6.2%
-0.7160266242 1
 
6.2%
1.496774526 1
 
6.2%
1.203442539 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-0.7227466063 1
6.2%
-0.7160266242 1
6.2%
-0.3952443254 1
6.2%
-0.3674878286 1
6.2%
-0.3550304071 1
6.2%
ValueCountFrequency (%)
1.496774526 1
6.2%
1.203442539 1
6.2%
0.8875016933 1
6.2%
0.7032966639 1
6.2%
0.5266022144 1
6.2%

prchm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.008937119017
Minimum-2.267752309
Maximum1.446307605
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:40.533841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.267752309
5-th percentile-1.897579041
Q1-0.5818301647
median0.03192717465
Q30.8000425309
95-th percentile1.343669071
Maximum1.446307605
Range3.714059914
Interquartile range (IQR)1.381872696

Descriptive statistics

Standard deviation1.080827074
Coefficient of variation (CV)-120.9368558
Kurtosis-0.223859522
Mean-0.008937119017
Median Absolute Deviation (MAD)0.7644023744
Skewness-0.6500934594
Sum-0.1429939043
Variance1.168187163
MonotonicityNot monotonic
2025-03-30T10:56:40.971250image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.12397586 1
 
6.2%
-0.5229368894 1
 
6.2%
-0.7585099907 1
 
6.2%
-0.2681554441 1
 
6.2%
1.446307605 1
 
6.2%
1.309456226 1
 
6.2%
-2.267752309 1
 
6.2%
0.02566645505 1
 
6.2%
-0.1599096743 1
 
6.2%
1.038997722 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.267752309 1
6.2%
-1.774187952 1
6.2%
-1.12397586 1
6.2%
-0.7585099907 1
6.2%
-0.5229368894 1
6.2%
ValueCountFrequency (%)
1.446307605 1
6.2%
1.309456226 1
6.2%
1.038997722 1
6.2%
0.8892858492 1
6.2%
0.7702947581 1
6.2%

prclm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3568163061
Minimum-1.490664546
Maximum0.8890663262
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:41.409403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.490664546
5-th percentile-1.359788024
Q1-0.9524352365
median-0.4957197177
Q30.2339251738
95-th percentile0.7626594015
Maximum0.8890663262
Range2.379730872
Interquartile range (IQR)1.18636041

Descriptive statistics

Standard deviation0.7262959534
Coefficient of variation (CV)-2.035489805
Kurtosis-1.003552752
Mean-0.3568163061
Median Absolute Deviation (MAD)0.5484027159
Skewness0.2071133363
Sum-5.709060898
Variance0.5275058119
MonotonicityNot monotonic
2025-03-30T10:56:41.831657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.2977539348 1
 
6.2%
-0.6159263093 1
 
6.2%
-1.490664546 1
 
6.2%
0.2227158396 1
 
6.2%
0.2675531763 1
 
6.2%
-1.316162517 1
 
6.2%
0.04811882013 1
 
6.2%
0.72052376 1
 
6.2%
-1.048686612 1
 
6.2%
-0.6029343604 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.490664546 1
6.2%
-1.316162517 1
6.2%
-1.048686612 1
6.2%
-1.032655016 1
6.2%
-0.9256953099 1
6.2%
ValueCountFrequency (%)
0.8890663262 1
6.2%
0.72052376 1
6.2%
0.4648792208 1
6.2%
0.2675531763 1
6.2%
0.2227158396 1
6.2%

trfm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3735439957
Minimum-1.318641966
Maximum2.368481709
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:56:42.211832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.318641966
5-th percentile-1.212120754
Q1-0.5776926285
median0.579894885
Q31.001869426
95-th percentile1.67426173
Maximum2.368481709
Range3.687123675
Interquartile range (IQR)1.579562055

Descriptive statistics

Standard deviation1.08657825
Coefficient of variation (CV)2.908836074
Kurtosis-0.7483880261
Mean0.3735439957
Median Absolute Deviation (MAD)0.5801628208
Skewness-0.2392269959
Sum5.976703931
Variance1.180652294
MonotonicityNot monotonic
2025-03-30T10:56:42.649575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.318641966 1
 
6.2%
-1.176613683 1
 
6.2%
1.019868929 1
 
6.2%
0.4652676068 1
 
6.2%
-0.4419036632 1
 
6.2%
0.9925453048 1
 
6.2%
0.9958695924 1
 
6.2%
2.368481709 1
 
6.2%
1.44285507 1
 
6.2%
0.4792398391 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.318641966 1
6.2%
-1.176613683 1
6.2%
-1.127843928 1
6.2%
-0.9850595247 1
6.2%
-0.4419036632 1
6.2%
ValueCountFrequency (%)
2.368481709 1
6.2%
1.44285507 1
6.2%
1.300246483 1
6.2%
1.019868929 1
6.2%
0.9958695924 1
6.2%

trt1m
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007274930665
Minimum-1.622092978
Maximum2.02109777
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:56:43.087268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.622092978
5-th percentile-1.393847512
Q1-0.7525270344
median-0.3071058072
Q30.9020055887
95-th percentile1.873227548
Maximum2.02109777
Range3.643190749
Interquartile range (IQR)1.654532623

Descriptive statistics

Standard deviation1.131903319
Coefficient of variation (CV)155.5895679
Kurtosis-0.9347858632
Mean0.007274930665
Median Absolute Deviation (MAD)0.6712582702
Skewness0.4792209582
Sum0.1163988906
Variance1.281205123
MonotonicityNot monotonic
2025-03-30T10:56:43.517736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.400135711 1
 
6.2%
-0.2073489934 1
 
6.2%
-0.6240443769 1
 
6.2%
0.1704986548 1
 
6.2%
1.823937473 1
 
6.2%
-1.31776569 1
 
6.2%
-0.7015096734 1
 
6.2%
-0.9055791175 1
 
6.2%
-1.622092978 1
 
6.2%
1.088568214 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.622092978 1
6.2%
-1.31776569 1
6.2%
-1.051149037 1
6.2%
-0.9055791175 1
6.2%
-0.7015096734 1
6.2%
ValueCountFrequency (%)
2.02109777 1
6.2%
1.823937473 1
6.2%
1.400135711 1
6.2%
1.088568214 1
6.2%
0.839818047 1
6.2%

index_y
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04791962403
Minimum-3.044662165
Maximum1.927528374
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:56:43.954832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.044662165
5-th percentile-1.958988952
Q1-0.867447658
median0.05137416403
Q30.9375155059
95-th percentile1.756722142
Maximum1.927528374
Range4.972190539
Interquartile range (IQR)1.804963164

Descriptive statistics

Standard deviation1.342428966
Coefficient of variation (CV)-28.01417985
Kurtosis0.09776722971
Mean-0.04791962403
Median Absolute Deviation (MAD)0.8962227038
Skewness-0.4530950271
Sum-0.7667139845
Variance1.802115528
MonotonicityNot monotonic
2025-03-30T10:56:44.391329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.9274341439 1
 
6.2%
1.604624708 1
 
6.2%
0.9677595918 1
 
6.2%
1.927528374 1
 
6.2%
-0.78623627 1
 
6.2%
1.699786731 1
 
6.2%
-0.6990317609 1
 
6.2%
0.3075188813 1
 
6.2%
-3.044662165 1
 
6.2%
-1.213529448 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-3.044662165 1
6.2%
-1.597097881 1
6.2%
-1.213529448 1
6.2%
-1.111081822 1
6.2%
-0.78623627 1
6.2%
ValueCountFrequency (%)
1.927528374 1
6.2%
1.699786731 1
6.2%
1.604624708 1
6.2%
0.9677595918 1
6.2%
0.9274341439 1
6.2%

CAPEI
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1788886438
Minimum-2.330918302
Maximum1.85245989
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:56:44.780620image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.330918302
5-th percentile-1.775803323
Q1-0.8753729505
median-0.2429570855
Q30.5379893261
95-th percentile1.552604781
Maximum1.85245989
Range4.183378192
Interquartile range (IQR)1.413362277

Descriptive statistics

Standard deviation1.126488102
Coefficient of variation (CV)-6.297147086
Kurtosis-0.3491113103
Mean-0.1788886438
Median Absolute Deviation (MAD)0.7926365178
Skewness-0.07403655239
Sum-2.862218301
Variance1.268975445
MonotonicityNot monotonic
2025-03-30T10:56:45.186420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.590764997 1
 
6.2%
0.3723524645 1
 
6.2%
-1.064241879 1
 
6.2%
-0.2200632475 1
 
6.2%
-0.2658509235 1
 
6.2%
-1.44296144 1
 
6.2%
0.6522849956 1
 
6.2%
-2.330918302 1
 
6.2%
0.472673617 1
 
6.2%
-0.3079771251 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.330918302 1
6.2%
-1.590764997 1
6.2%
-1.44296144 1
6.2%
-1.064241879 1
6.2%
-0.8124166411 1
6.2%
ValueCountFrequency (%)
1.85245989 1
6.2%
1.452653078 1
6.2%
0.6522849956 1
6.2%
0.5888638345 1
6.2%
0.5210311566 1
6.2%

bm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1196471817
Minimum-1.550696701
Maximum2.011982431
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:45.576099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.550696701
5-th percentile-1.274074379
Q1-1.003116615
median-0.2020713418
Q30.2808450771
95-th percentile1.749634458
Maximum2.011982431
Range3.562679131
Interquartile range (IQR)1.283961692

Descriptive statistics

Standard deviation1.003619068
Coefficient of variation (CV)-8.388154684
Kurtosis0.1732467136
Mean-0.1196471817
Median Absolute Deviation (MAD)0.8171553898
Skewness0.7126680231
Sum-1.914354907
Variance1.007251233
MonotonicityNot monotonic
2025-03-30T10:56:45.988410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.550696701 1
 
6.2%
0.1574747953 1
 
6.2%
-1.062401887 1
 
6.2%
-0.2564859618 1
 
6.2%
0.09266533864 1
 
6.2%
2.011982431 1
 
6.2%
0.6509559225 1
 
6.2%
1.662185133 1
 
6.2%
-0.983354857 1
 
6.2%
-0.1729101125 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.550696701 1
6.2%
-1.181866939 1
6.2%
-1.178947371 1
6.2%
-1.062401887 1
6.2%
-0.983354857 1
6.2%
ValueCountFrequency (%)
2.011982431 1
6.2%
1.662185133 1
6.2%
0.6541160545 1
6.2%
0.6509559225 1
6.2%
0.1574747953 1
6.2%

evm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.158375854
Minimum-2.726899501
Maximum1.881472893
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:46.409164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.726899501
5-th percentile-1.878238045
Q1-1.02079801
median0.2517469528
Q30.6455746625
95-th percentile1.3096263
Maximum1.881472893
Range4.608372394
Interquartile range (IQR)1.666372673

Descriptive statistics

Standard deviation1.226364816
Coefficient of variation (CV)-7.743382496
Kurtosis-0.3290802463
Mean-0.158375854
Median Absolute Deviation (MAD)0.8438998047
Skewness-0.4390994579
Sum-2.534013664
Variance1.503970661
MonotonicityNot monotonic
2025-03-30T10:56:46.825035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.6848586595 1
 
6.2%
-0.9276241603 1
 
6.2%
0.6508715539 1
 
6.2%
-1.526910185 1
 
6.2%
0.643809032 1
 
6.2%
-2.726899501 1
 
6.2%
1.037167337 1
 
6.2%
0.2681441068 1
 
6.2%
-1.595350892 1
 
6.2%
1.119010768 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.726899501 1
6.2%
-1.595350892 1
6.2%
-1.526910185 1
6.2%
-1.30031956 1
6.2%
-0.9276241603 1
6.2%
ValueCountFrequency (%)
1.881472893 1
6.2%
1.119010768 1
6.2%
1.037167337 1
6.2%
0.6508715539 1
6.2%
0.643809032 1
6.2%

pe_op_basic
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3879722949
Minimum-1.551683711
Maximum1.634763486
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)31.2%
Memory size256.0 B
2025-03-30T10:56:47.263429image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.551683711
5-th percentile-1.112885283
Q1-0.2676544399
median0.513815243
Q31.043408557
95-th percentile1.628668159
Maximum1.634763486
Range3.186447197
Interquartile range (IQR)1.311062997

Descriptive statistics

Standard deviation0.9460002296
Coefficient of variation (CV)2.438319029
Kurtosis-0.4843442103
Mean0.3879722949
Median Absolute Deviation (MAD)0.7242573402
Skewness-0.4271704225
Sum6.207556719
Variance0.8949164345
MonotonicityNot monotonic
2025-03-30T10:56:47.720603image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.1340745349 1
 
6.2%
1.626636384 1
 
6.2%
-0.4698513494 1
 
6.2%
0.3186821532 1
 
6.2%
-0.3802111555 1
 
6.2%
1.218379146 1
 
6.2%
1.56266809 1
 
6.2%
-0.9666191406 1
 
6.2%
0.7089483328 1
 
6.2%
-0.2301355347 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.551683711 1
6.2%
-0.9666191406 1
6.2%
-0.4698513494 1
6.2%
-0.3802111555 1
6.2%
-0.2301355347 1
6.2%
ValueCountFrequency (%)
1.634763486 1
6.2%
1.626636384 1
6.2%
1.56266809 1
6.2%
1.218379146 1
6.2%
0.9850850278 1
6.2%

pe_op_dil
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1003968588
Minimum-2.844459077
Maximum2.621425064
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:56:48.147890image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.844459077
5-th percentile-1.87895834
Q1-0.6329035818
median0.3121087239
Q30.9141303477
95-th percentile1.860312501
Maximum2.621425064
Range5.465884141
Interquartile range (IQR)1.54703393

Descriptive statistics

Standard deviation1.342529104
Coefficient of variation (CV)13.3722222
Kurtosis0.4732390882
Mean0.1003968588
Median Absolute Deviation (MAD)0.7866126683
Skewness-0.4018724334
Sum1.606349741
Variance1.802384396
MonotonicityNot monotonic
2025-03-30T10:56:48.583323image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.9115232779 1
 
6.2%
-0.6419987852 1
 
6.2%
0.0937571789 1
 
6.2%
0.9219515573 1
 
6.2%
0.7405846707 1
 
6.2%
-0.6298718473 1
 
6.2%
1.023147104 1
 
6.2%
0.7308791674 1
 
6.2%
-0.5500782322 1
 
6.2%
-2.844459077 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.844459077 1
6.2%
-1.557124761 1
6.2%
-1.4183676 1
6.2%
-0.6419987852 1
6.2%
-0.6298718473 1
6.2%
ValueCountFrequency (%)
2.621425064 1
6.2%
1.606608314 1
6.2%
1.023147104 1
6.2%
0.9219515573 1
6.2%
0.9115232779 1
6.2%

pe_exi
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01586225906
Minimum-1.128787097
Maximum1.008354183
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:48.998949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.128787097
5-th percentile-1.092123981
Q1-0.3325302532
median0.09611306641
Q30.4562360067
95-th percentile0.9291743472
Maximum1.008354183
Range2.13714128
Interquartile range (IQR)0.7887662599

Descriptive statistics

Standard deviation0.653189035
Coefficient of variation (CV)-41.17881524
Kurtosis-0.6404455976
Mean-0.01586225906
Median Absolute Deviation (MAD)0.3654358612
Skewness-0.3621108113
Sum-0.2537961449
Variance0.4266559155
MonotonicityNot monotonic
2025-03-30T10:56:49.407004image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.2066434484 1
 
6.2%
0.02987293456 1
 
6.2%
0.254706093 1
 
6.2%
-0.923885204 1
 
6.2%
1.008354183 1
 
6.2%
-1.079902943 1
 
6.2%
-1.128787097 1
 
6.2%
0.4749472859 1
 
6.2%
-0.07342048069 1
 
6.2%
-0.6045785427 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.128787097 1
6.2%
-1.079902943 1
6.2%
-0.923885204 1
6.2%
-0.6045785427 1
6.2%
-0.24184749 1
6.2%
ValueCountFrequency (%)
1.008354183 1
6.2%
0.9027810686 1
6.2%
0.4749472859 1
6.2%
0.4721747696 1
6.2%
0.4509230858 1
6.2%

pe_inc
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4168287786
Minimum-2.49899746
Maximum1.864222609
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:49.841502image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.49899746
5-th percentile-2.149726664
Q1-1.287192384
median-0.2770141772
Q30.1078529315
95-th percentile1.753461145
Maximum1.864222609
Range4.363220069
Interquartile range (IQR)1.395045316

Descriptive statistics

Standard deviation1.239516548
Coefficient of variation (CV)-2.973682748
Kurtosis-0.342562208
Mean-0.4168287786
Median Absolute Deviation (MAD)0.8847984796
Skewness0.2957325196
Sum-6.669260457
Variance1.536401272
MonotonicityNot monotonic
2025-03-30T10:56:50.263387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-2.49899746 1
 
6.2%
-1.054673 1
 
6.2%
1.864222609 1
 
6.2%
-0.3182005911 1
 
6.2%
1.716540658 1
 
6.2%
0.8398947343 1
 
6.2%
0.04355037743 1
 
6.2%
0.2977809632 1
 
6.2%
-2.033303066 1
 
6.2%
-0.1408821697 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.49899746 1
6.2%
-2.033303066 1
6.2%
-1.6003555 1
6.2%
-1.341912596 1
6.2%
-1.268952313 1
6.2%
ValueCountFrequency (%)
1.864222609 1
6.2%
1.716540658 1
6.2%
0.8398947343 1
6.2%
0.2977809632 1
6.2%
0.04454358758 1
6.2%

ps
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02887165532
Minimum-1.095422852
Maximum1.828146799
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:56:50.647520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.095422852
5-th percentile-1.015637859
Q1-0.6899605391
median-0.08372019098
Q30.2948206929
95-th percentile1.805046969
Maximum1.828146799
Range2.923569652
Interquartile range (IQR)0.984781232

Descriptive statistics

Standard deviation0.9042327141
Coefficient of variation (CV)31.31904646
Kurtosis0.1014472722
Mean0.02887165532
Median Absolute Deviation (MAD)0.572610969
Skewness0.8805006677
Sum0.4619464851
Variance0.8176368013
MonotonicityNot monotonic
2025-03-30T10:56:51.091447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.095422852 1
 
6.2%
-0.8002730514 1
 
6.2%
-0.06306877711 1
 
6.2%
1.828146799 1
 
6.2%
1.797347025 1
 
6.2%
0.07738327683 1
 
6.2%
-0.5043057314 1
 
6.2%
-0.1051657341 1
 
6.2%
1.09551223 1
 
6.2%
-0.1043716048 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.095422852 1
6.2%
-0.9890428608 1
6.2%
-0.8204029907 1
6.2%
-0.8002730514 1
6.2%
-0.6531897016 1
6.2%
ValueCountFrequency (%)
1.828146799 1
6.2%
1.797347025 1
6.2%
1.09551223 1
6.2%
0.4920322363 1
6.2%
0.2290835118 1
6.2%

pcf
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3577262582
Minimum-1.518724296
Maximum1.843006057
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:56:51.529583image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.518724296
5-th percentile-1.028470397
Q1-0.08104455642
median0.3325659529
Q30.8606974118
95-th percentile1.668256877
Maximum1.843006057
Range3.361730353
Interquartile range (IQR)0.9417419682

Descriptive statistics

Standard deviation0.8790524728
Coefficient of variation (CV)2.457332815
Kurtosis0.2014546083
Mean0.3577262582
Median Absolute Deviation (MAD)0.4590827742
Skewness-0.271503797
Sum5.723620131
Variance0.7727332499
MonotonicityNot monotonic
2025-03-30T10:56:52.002222image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.2979431257 1
 
6.2%
-0.06333140651 1
 
6.2%
-0.1341840062 1
 
6.2%
1.843006057 1
 
6.2%
-1.518724296 1
 
6.2%
0.7839815422 1
 
6.2%
1.306392508 1
 
6.2%
0.5466363484 1
 
6.2%
0.3671887801 1
 
6.2%
-0.8650524301 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.518724296 1
6.2%
-0.8650524301 1
6.2%
-0.3326818052 1
6.2%
-0.1341840062 1
6.2%
-0.06333140651 1
6.2%
ValueCountFrequency (%)
1.843006057 1
6.2%
1.610007151 1
6.2%
1.306392508 1
6.2%
1.090845021 1
6.2%
0.7839815422 1
6.2%

npm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2225222161
Minimum-1.167393225
Maximum1.726873403
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:52.429203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.167393225
5-th percentile-1.118710381
Q1-0.4449960218
median0.3707847898
Q31.014010379
95-th percentile1.352216323
Maximum1.726873403
Range2.894266628
Interquartile range (IQR)1.459006401

Descriptive statistics

Standard deviation0.8910349711
Coefficient of variation (CV)4.00425174
Kurtosis-1.165040304
Mean0.2225222161
Median Absolute Deviation (MAD)0.7109089065
Skewness-0.07916768168
Sum3.560355458
Variance0.7939433196
MonotonicityNot monotonic
2025-03-30T10:56:52.869382image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.3303579666 1
 
6.2%
1.22733063 1
 
6.2%
-0.3685036659 1
 
6.2%
-0.1888329166 1
 
6.2%
0.7056420433 1
 
6.2%
0.3951759592 1
 
6.2%
1.091459846 1
 
6.2%
-0.6744730894 1
 
6.2%
-1.167393225 1
 
6.2%
1.726873403 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.167393225 1
6.2%
-1.102482767 1
6.2%
-0.7159720254 1
6.2%
-0.6744730894 1
6.2%
-0.3685036659 1
6.2%
ValueCountFrequency (%)
1.726873403 1
6.2%
1.22733063 1
6.2%
1.091459846 1
6.2%
1.045802364 1
6.2%
1.00341305 1
6.2%

opmbd
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02151672455
Minimum-1.84958851
Maximum2.564260178
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:56:53.331935image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.84958851
5-th percentile-1.6553207
Q1-0.7498725477
median-0.05850985341
Q30.3328437292
95-th percentile2.221023706
Maximum2.564260178
Range4.413848688
Interquartile range (IQR)1.082716277

Descriptive statistics

Standard deviation1.192765297
Coefficient of variation (CV)-55.4343341
Kurtosis0.5176994556
Mean-0.02151672455
Median Absolute Deviation (MAD)0.6939722642
Skewness0.7123012866
Sum-0.3442675928
Variance1.422689055
MonotonicityNot monotonic
2025-03-30T10:56:53.730479image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.6745824522 1
 
6.2%
2.564260178 1
 
6.2%
0.07029434854 1
 
6.2%
0.006626420411 1
 
6.2%
0.0824663937 1
 
6.2%
-1.127978816 1
 
6.2%
-0.1751116294 1
 
6.2%
0.776004744 1
 
6.2%
0.9107819169 1
 
6.2%
-0.1236461272 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.84958851 1
6.2%
-1.590564763 1
6.2%
-1.127978816 1
6.2%
-0.7577012572 1
6.2%
-0.7472629779 1
6.2%
ValueCountFrequency (%)
2.564260178 1
6.2%
2.106611548 1
6.2%
0.9107819169 1
6.2%
0.776004744 1
6.2%
0.185123391 1
6.2%

opmad
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1245332698
Minimum-2.132848033
Maximum1.69705466
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:54.104942image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.132848033
5-th percentile-1.620316785
Q1-0.6553107719
median-0.1085207509
Q30.3320197848
95-th percentile1.276635183
Maximum1.69705466
Range3.829902693
Interquartile range (IQR)0.9873305567

Descriptive statistics

Standard deviation0.9717005496
Coefficient of variation (CV)-7.802738586
Kurtosis0.2539651816
Mean-0.1245332698
Median Absolute Deviation (MAD)0.5626433555
Skewness-0.1201994635
Sum-1.992532317
Variance0.9442019581
MonotonicityNot monotonic
2025-03-30T10:56:54.542754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.3261441632 1
 
6.2%
-0.7028707752 1
 
6.2%
-0.147465903 1
 
6.2%
-0.9712568139 1
 
6.2%
-0.6394574375 1
 
6.2%
0.1687405097 1
 
6.2%
-0.06957559877 1
 
6.2%
1.69705466 1
 
6.2%
-1.449473036 1
 
6.2%
1.136495357 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.132848033 1
6.2%
-1.449473036 1
6.2%
-0.9712568139 1
6.2%
-0.7028707752 1
6.2%
-0.6394574375 1
6.2%
ValueCountFrequency (%)
1.69705466 1
6.2%
1.136495357 1
6.2%
0.9723408713 1
6.2%
0.6706220601 1
6.2%
0.2191523597 1
6.2%

gpm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09700791791
Minimum-2.013669571
Maximum1.503349064
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:54.969988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.013669571
5-th percentile-1.501522649
Q1-0.9836459257
median0.0882039095
Q30.7064474672
95-th percentile1.437436766
Maximum1.503349064
Range3.517018635
Interquartile range (IQR)1.690093393

Descriptive statistics

Standard deviation1.08410115
Coefficient of variation (CV)-11.17538829
Kurtosis-1.125923417
Mean-0.09700791791
Median Absolute Deviation (MAD)0.9673521684
Skewness-0.1084927699
Sum-1.552126687
Variance1.175275303
MonotonicityNot monotonic
2025-03-30T10:56:55.402424image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.4471462479 1
 
6.2%
-0.8971316872 1
 
6.2%
0.3954175754 1
 
6.2%
0.09369257994 1
 
6.2%
1.415466 1
 
6.2%
0.8522698495 1
 
6.2%
-0.8611648307 1
 
6.2%
0.08271523906 1
 
6.2%
1.503349064 1
 
6.2%
-1.330807008 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.013669571 1
6.2%
-1.330807008 1
6.2%
-1.251937198 1
6.2%
-1.243188641 1
6.2%
-0.8971316872 1
6.2%
ValueCountFrequency (%)
1.503349064 1
6.2%
1.415466 1
6.2%
1.18571641 1
6.2%
0.8522698495 1
6.2%
0.6578400065 1
6.2%

ptpm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3525229777
Minimum-2.142944562
Maximum0.8258853817
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:56:55.861483image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.142944562
5-th percentile-1.938566807
Q1-1.233527186
median0.003337963266
Q30.2634594962
95-th percentile0.79149489
Maximum0.8258853817
Range2.968829943
Interquartile range (IQR)1.496986682

Descriptive statistics

Standard deviation0.9709048583
Coefficient of variation (CV)-2.754160493
Kurtosis-1.019242194
Mean-0.3525229777
Median Absolute Deviation (MAD)0.7661645043
Skewness-0.532792481
Sum-5.640367644
Variance0.9426562439
MonotonicityNot monotonic
2025-03-30T10:56:56.289201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.397812002 1
 
6.2%
-1.870440889 1
 
6.2%
0.2115374453 1
 
6.2%
0.4192256488 1
 
6.2%
0.1815240926 1
 
6.2%
-1.207640303 1
 
6.2%
0.1304930197 1
 
6.2%
-1.311187834 1
 
6.2%
-0.3330396062 1
 
6.2%
-0.1238170932 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.142944562 1
6.2%
-1.870440889 1
6.2%
-1.397812002 1
6.2%
-1.311187834 1
6.2%
-1.207640303 1
6.2%
ValueCountFrequency (%)
0.8258853817 1
6.2%
0.7800313928 1
6.2%
0.7594906865 1
6.2%
0.4192256488 1
6.2%
0.2115374453 1
6.2%

cfm
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3608574098
Minimum-2.228680184
Maximum1.472370718
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)68.8%
Memory size256.0 B
2025-03-30T10:56:56.704426image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.228680184
5-th percentile-1.439996928
Q1-0.7798445489
median-0.3302729662
Q30.1585007218
95-th percentile0.6706367395
Maximum1.472370718
Range3.701050902
Interquartile range (IQR)0.9383452707

Descriptive statistics

Standard deviation0.8335623012
Coefficient of variation (CV)-2.309949245
Kurtosis1.466780581
Mean-0.3608574098
Median Absolute Deviation (MAD)0.4896269828
Skewness-0.05772693396
Sum-5.773718556
Variance0.69482611
MonotonicityNot monotonic
2025-03-30T10:56:57.166790image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.6089159296 1
 
6.2%
-0.9491495508 1
 
6.2%
-0.2746970397 1
 
6.2%
0.4033920801 1
 
6.2%
-0.7234095483 1
 
6.2%
-0.2191915447 1
 
6.2%
0.1576474269 1
 
6.2%
-1.177102509 1
 
6.2%
-1.081735454 1
 
6.2%
1.472370718 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.228680184 1
6.2%
-1.177102509 1
6.2%
-1.081735454 1
6.2%
-0.9491495508 1
6.2%
-0.7234095483 1
6.2%
ValueCountFrequency (%)
1.472370718 1
6.2%
0.4033920801 1
6.2%
0.3465510271 1
6.2%
0.1610606064 1
6.2%
0.1576474269 1
6.2%

roa
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6604506404
Minimum-1.096749183
Maximum2.535479419
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:56:57.629661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.096749183
5-th percentile-0.6628571737
Q1-0.1515224727
median0.3451618282
Q31.40067193
95-th percentile2.460864362
Maximum2.535479419
Range3.632228601
Interquartile range (IQR)1.552194403

Descriptive statistics

Standard deviation1.145360267
Coefficient of variation (CV)1.734210244
Kurtosis-0.9837159863
Mean0.6604506404
Median Absolute Deviation (MAD)0.723244624
Skewness0.4832696944
Sum10.56721025
Variance1.31185014
MonotonicityNot monotonic
2025-03-30T10:56:58.069870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.08846428163 1
 
6.2%
1.225100292 1
 
6.2%
-0.03074067336 1
 
6.2%
2.355860201 1
 
6.2%
-0.3036616695 1
 
6.2%
0.6020545576 1
 
6.2%
-0.5182265041 1
 
6.2%
1.142827578 1
 
6.2%
-0.1619140539 1
 
6.2%
-0.1480586122 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.096749183 1
6.2%
-0.5182265041 1
6.2%
-0.3036616695 1
6.2%
-0.1619140539 1
6.2%
-0.1480586122 1
6.2%
ValueCountFrequency (%)
2.535479419 1
6.2%
2.435992676 1
6.2%
2.355860201 1
6.2%
1.927386843 1
6.2%
1.225100292 1
6.2%

roe
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02912308076
Minimum-1.433854458
Maximum1.573593033
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:56:58.482606image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.433854458
5-th percentile-1.115548857
Q1-0.6573400343
median-0.09863420423
Q30.7203250352
95-th percentile1.132959565
Maximum1.573593033
Range3.007447491
Interquartile range (IQR)1.377665069

Descriptive statistics

Standard deviation0.8472612222
Coefficient of variation (CV)29.09243116
Kurtosis-0.9055189322
Mean0.02912308076
Median Absolute Deviation (MAD)0.6837753348
Skewness0.06765911202
Sum0.4659692921
Variance0.7178515787
MonotonicityNot monotonic
2025-03-30T10:56:58.888383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.9860817424 1
 
6.2%
1.573593033 1
 
6.2%
-1.433854458 1
 
6.2%
-0.3828934468 1
 
6.2%
-0.8072780097 1
 
6.2%
-0.2292848261 1
 
6.2%
-1.00944699 1
 
6.2%
0.03201641764 1
 
6.2%
0.7653061459 1
 
6.2%
-0.648516866 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.433854458 1
6.2%
-1.00944699 1
6.2%
-0.8072780097 1
6.2%
-0.6838095391 1
6.2%
-0.648516866 1
6.2%
ValueCountFrequency (%)
1.573593033 1
6.2%
0.9860817424 1
6.2%
0.9130600942 1
6.2%
0.7653061459 1
6.2%
0.7053313316 1
6.2%

roce
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0983920625
Minimum-1.016594462
Maximum0.857562682
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:56:59.313043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.016594462
5-th percentile-1.014545441
Q1-0.3928481944
median-0.1487553969
Q30.1965046902
95-th percentile0.6892948627
Maximum0.857562682
Range1.874157144
Interquartile range (IQR)0.5893528846

Descriptive statistics

Standard deviation0.5505460712
Coefficient of variation (CV)-5.595431758
Kurtosis-0.4451948439
Mean-0.0983920625
Median Absolute Deviation (MAD)0.2679150341
Skewness-0.02411761979
Sum-1.574273
Variance0.3031009765
MonotonicityNot monotonic
2025-03-30T10:56:59.771773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.1563047604 1
 
6.2%
0.6332055896 1
 
6.2%
0.005785161009 1
 
6.2%
0.4632558284 1
 
6.2%
-0.1526510012 1
 
6.2%
-0.3810501179 1
 
6.2%
-1.016594462 1
 
6.2%
-0.1959039043 1
 
6.2%
0.5854823073 1
 
6.2%
-0.0320280335 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.016594462 1
6.2%
-1.013862434 1
6.2%
-0.7056552824 1
6.2%
-0.4282424241 1
6.2%
-0.3810501179 1
6.2%
ValueCountFrequency (%)
0.857562682 1
6.2%
0.6332055896 1
6.2%
0.5854823073 1
6.2%
0.4632558284 1
6.2%
0.1075876441 1
6.2%

aftret_eq
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05982768229
Minimum-1.034650223
Maximum1.307460119
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:57:00.225015image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.034650223
5-th percentile-1.022310621
Q1-0.7306099511
median-0.009745802592
Q30.2524578997
95-th percentile1.263394802
Maximum1.307460119
Range2.342110342
Interquartile range (IQR)0.9830678507

Descriptive statistics

Standard deviation0.8047001272
Coefficient of variation (CV)-13.45029753
Kurtosis-0.8442254277
Mean-0.05982768229
Median Absolute Deviation (MAD)0.6922923373
Skewness0.5258471956
Sum-0.9572429166
Variance0.6475422948
MonotonicityNot monotonic
2025-03-30T10:57:00.656984image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.018197421 1
 
6.2%
-0.7091914728 1
 
6.2%
-0.794865386 1
 
6.2%
0.0384106462 1
 
6.2%
0.04992101514 1
 
6.2%
-0.4063017447 1
 
6.2%
1.248706363 1
 
6.2%
1.307460119 1
 
6.2%
-0.694884807 1
 
6.2%
0.4750122504 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.034650223 1
6.2%
-1.018197421 1
6.2%
-0.9247995056 1
6.2%
-0.794865386 1
6.2%
-0.7091914728 1
6.2%
ValueCountFrequency (%)
1.307460119 1
6.2%
1.248706363 1
6.2%
1.208432143 1
6.2%
0.4750122504 1
6.2%
0.1782731161 1
6.2%

aftret_invcapx
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1121005729
Minimum-1.262642885
Maximum2.021316143
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:57:01.093462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.262642885
5-th percentile-1.056397329
Q1-0.7580109673
median0.2341894438
Q30.6818013502
95-th percentile1.328265626
Maximum2.021316143
Range3.283959028
Interquartile range (IQR)1.439812318

Descriptive statistics

Standard deviation0.9132563547
Coefficient of variation (CV)8.146759032
Kurtosis-0.4428814271
Mean0.1121005729
Median Absolute Deviation (MAD)0.5496740881
Skewness0.1913226498
Sum1.793609166
Variance0.8340371695
MonotonicityNot monotonic
2025-03-30T10:57:01.489714image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.7409543367 1
 
6.2%
-0.9835350459 1
 
6.2%
-0.900036812 1
 
6.2%
0.6698251454 1
 
6.2%
-0.9876488103 1
 
6.2%
2.021316143 1
 
6.2%
-1.262642885 1
 
6.2%
0.6374563999 1
 
6.2%
-0.3583938396 1
 
6.2%
-0.7106690191 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.262642885 1
6.2%
-0.9876488103 1
6.2%
-0.9835350459 1
6.2%
-0.900036812 1
6.2%
-0.7106690191 1
6.2%
ValueCountFrequency (%)
2.021316143 1
6.2%
1.097248787 1
6.2%
0.7409543367 1
6.2%
0.7177299647 1
6.2%
0.6698251454 1
6.2%

aftret_equity
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2017926107
Minimum-1.43739323
Maximum1.719075776
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:57:01.885234image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.43739323
5-th percentile-1.358529098
Q1-0.3702130254
median0.1498012437
Q30.9519032854
95-th percentile1.573965507
Maximum1.719075776
Range3.156469006
Interquartile range (IQR)1.322116311

Descriptive statistics

Standard deviation0.9739028601
Coefficient of variation (CV)4.826256306
Kurtosis-0.9855106746
Mean0.2017926107
Median Absolute Deviation (MAD)0.7901551331
Skewness-0.1624248292
Sum3.228681772
Variance0.9484867809
MonotonicityNot monotonic
2025-03-30T10:57:02.334476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.525595418 1
 
6.2%
-0.6410038025 1
 
6.2%
1.127125547 1
 
6.2%
-0.8196590543 1
 
6.2%
-1.43739323 1
 
6.2%
0.9896937506 1
 
6.2%
0.6564230181 1
 
6.2%
0.9340913546 1
 
6.2%
-0.279949433 1
 
6.2%
-0.1945941942 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.43739323 1
6.2%
-1.332241054 1
6.2%
-0.8196590543 1
6.2%
-0.6410038025 1
6.2%
-0.279949433 1
6.2%
ValueCountFrequency (%)
1.719075776 1
6.2%
1.525595418 1
6.2%
1.127125547 1
6.2%
0.9896937506 1
6.2%
0.9393064636 1
6.2%

GProf
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08611484078
Minimum-2.339693383
Maximum2.399253308
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:57:02.758537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.339693383
5-th percentile-1.699849515
Q1-0.3955211654
median0.04430193884
Q30.2207161073
95-th percentile1.354936234
Maximum2.399253308
Range4.738946691
Interquartile range (IQR)0.6162372727

Descriptive statistics

Standard deviation1.040488085
Coefficient of variation (CV)-12.08256411
Kurtosis2.272691268
Mean-0.08611484078
Median Absolute Deviation (MAD)0.2755962213
Skewness0.1069680885
Sum-1.377837452
Variance1.082615455
MonotonicityNot monotonic
2025-03-30T10:57:03.179105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.1439366611 1
 
6.2%
0.2279128499 1
 
6.2%
-1.093895642 1
 
6.2%
-0.1287783012 1
 
6.2%
0.1717132745 1
 
6.2%
-0.4539292155 1
 
6.2%
0.1067588043 1
 
6.2%
-2.339693383 1
 
6.2%
0.1251289642 1
 
6.2%
-0.01815492659 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.339693383 1
6.2%
-1.486568226 1
6.2%
-1.093895642 1
6.2%
-0.4539292155 1
6.2%
-0.3760518154 1
6.2%
ValueCountFrequency (%)
2.399253308 1
6.2%
1.006830543 1
6.2%
0.4072557815 1
6.2%
0.2279128499 1
6.2%
0.2183171931 1
6.2%

equity_invcap
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09723648493
Minimum-2.229125896
Maximum2.712259107
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:57:03.600235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.229125896
5-th percentile-1.41812218
Q1-0.7574481477
median-0.06217003064
Q31.165961052
95-th percentile1.729379858
Maximum2.712259107
Range4.941385003
Interquartile range (IQR)1.9234092

Descriptive statistics

Standard deviation1.233717313
Coefficient of variation (CV)12.68780247
Kurtosis0.1023108265
Mean0.09723648493
Median Absolute Deviation (MAD)0.7398091604
Skewness0.297315757
Sum1.555783759
Variance1.522058409
MonotonicityNot monotonic
2025-03-30T10:57:04.116706image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.332443828 1
 
6.2%
1.158262296 1
 
6.2%
-0.4870762149 1
 
6.2%
-2.229125896 1
 
6.2%
1.401753442 1
 
6.2%
2.712259107 1
 
6.2%
0.2760519822 1
 
6.2%
1.189057322 1
 
6.2%
-0.6222109833 1
 
6.2%
-1.147787608 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.229125896 1
6.2%
-1.147787608 1
6.2%
-0.8256129575 1
6.2%
-0.7783454246 1
6.2%
-0.7504823888 1
6.2%
ValueCountFrequency (%)
2.712259107 1
6.2%
1.401753442 1
6.2%
1.332443828 1
6.2%
1.189057322 1
6.2%
1.158262296 1
6.2%

debt_invcap
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2009797423
Minimum-1.290416613
Maximum1.595347011
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:57:04.559985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.290416613
5-th percentile-1.022690723
Q1-0.5742895173
median0.4331923543
Q30.8265770705
95-th percentile1.534389637
Maximum1.595347011
Range2.885763624
Interquartile range (IQR)1.400866588

Descriptive statistics

Standard deviation0.9498659753
Coefficient of variation (CV)4.726177694
Kurtosis-1.352176568
Mean0.2009797423
Median Absolute Deviation (MAD)0.9353224056
Skewness0.01822482463
Sum3.215675877
Variance0.902245371
MonotonicityNot monotonic
2025-03-30T10:57:04.984033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.6543194322 1
 
6.2%
-0.4566472234 1
 
6.2%
0.3861241159 1
 
6.2%
-0.9334487602 1
 
6.2%
0.736143448 1
 
6.2%
-0.547612879 1
 
6.2%
1.595347011 1
 
6.2%
1.445533591 1
 
6.2%
-0.9175250816 1
 
6.2%
1.097877938 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.290416613 1
6.2%
-0.9334487602 1
6.2%
-0.9175250816 1
6.2%
-0.6543194322 1
6.2%
-0.547612879 1
6.2%
ValueCountFrequency (%)
1.595347011 1
6.2%
1.514070512 1
6.2%
1.445533591 1
6.2%
1.097877938 1
6.2%
0.736143448 1
6.2%

totdebt_invcap
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08032256296
Minimum-1.231010694
Maximum1.034748526
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:57:05.436212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.231010694
5-th percentile-1.214380983
Q1-0.6627312989
median-0.004704025102
Q30.5740406604
95-th percentile0.8554204754
Maximum1.034748526
Range2.26575922
Interquartile range (IQR)1.236771959

Descriptive statistics

Standard deviation0.7444583273
Coefficient of variation (CV)-9.268358726
Kurtosis-1.355205973
Mean-0.08032256296
Median Absolute Deviation (MAD)0.6399273039
Skewness-0.163136572
Sum-1.285161007
Variance0.5542182012
MonotonicityNot monotonic
2025-03-30T10:57:05.908623image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.2950450531 1
 
6.2%
0.6576035566 1
 
6.2%
0.5461863617 1
 
6.2%
-0.6222510512 1
 
6.2%
-0.6001726759 1
 
6.2%
-1.208837746 1
 
6.2%
0.4733344993 1
 
6.2%
-0.08910001019 1
 
6.2%
-1.231010694 1
 
6.2%
-0.9136829198 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.231010694 1
6.2%
-1.208837746 1
6.2%
-0.9136829198 1
6.2%
-0.784172042 1
6.2%
-0.6222510512 1
6.2%
ValueCountFrequency (%)
1.034748526 1
6.2%
0.7956444585 1
6.2%
0.6625218692 1
6.2%
0.6576035566 1
6.2%
0.5461863617 1
6.2%

capital_ratio
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4167838423
Minimum-1.535849515
Maximum1.417928228
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)25.0%
Memory size256.0 B
2025-03-30T10:57:06.367926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.535849515
5-th percentile-1.196348754
Q1-0.04657430445
median0.7326839699
Q31.214051201
95-th percentile1.341012739
Maximum1.417928228
Range2.953777742
Interquartile range (IQR)1.260625505

Descriptive statistics

Standard deviation0.9522787454
Coefficient of variation (CV)2.284826447
Kurtosis-0.4495318056
Mean0.4167838423
Median Absolute Deviation (MAD)0.5738931383
Skewness-0.8570043706
Sum6.668541476
Variance0.9068348089
MonotonicityNot monotonic
2025-03-30T10:57:06.841415image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.956826882 1
 
6.2%
1.315374243 1
 
6.2%
0.9052163291 1
 
6.2%
-0.2511263054 1
 
6.2%
0.08115765207 1
 
6.2%
1.110436469 1
 
6.2%
1.200081189 1
 
6.2%
-1.535849515 1
 
6.2%
1.417928228 1
 
6.2%
-1.083181834 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.535849515 1
6.2%
-1.083181834 1
6.2%
-0.956826882 1
6.2%
-0.2511263054 1
6.2%
0.02160969587 1
6.2%
ValueCountFrequency (%)
1.417928228 1
6.2%
1.315374243 1
6.2%
1.297779974 1
6.2%
1.255961236 1
6.2%
1.200081189 1
6.2%

cash_lt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0851889483
Minimum-1.688642735
Maximum1.520879262
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:57:07.295234image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.688642735
5-th percentile-1.410370951
Q1-0.6719312198
median0.05593481795
Q30.4801256225
95-th percentile1.440624395
Maximum1.520879262
Range3.209521996
Interquartile range (IQR)1.152056842

Descriptive statistics

Standard deviation0.927296667
Coefficient of variation (CV)-10.88517567
Kurtosis-0.5396966473
Mean-0.0851889483
Median Absolute Deviation (MAD)0.5184608059
Skewness-0.006960370171
Sum-1.363023173
Variance0.8598791087
MonotonicityNot monotonic
2025-03-30T10:57:08.349039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.31761369 1
 
6.2%
-1.115476152 1
 
6.2%
-0.4426562669 1
 
6.2%
-0.5240829092 1
 
6.2%
0.4719530564 1
 
6.2%
-0.3026432464 1
 
6.2%
-1.138962383 1
 
6.2%
1.413872773 1
 
6.2%
0.3780327534 1
 
6.2%
0.594265345 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.688642735 1
6.2%
-1.31761369 1
6.2%
-1.138962383 1
6.2%
-1.115476152 1
6.2%
-0.5240829092 1
6.2%
ValueCountFrequency (%)
1.520879262 1
6.2%
1.413872773 1
6.2%
0.594265345 1
6.2%
0.5046433209 1
6.2%
0.4719530564 1
6.2%

debt_at
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3285040255
Minimum-1.585585882
Maximum1.402403542
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)75.0%
Memory size256.0 B
2025-03-30T10:57:08.848442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.585585882
5-th percentile-1.21386349
Q1-0.7942412127
median-0.4847545058
Q30.05502563578
95-th percentile0.7876750337
Maximum1.402403542
Range2.987989424
Interquartile range (IQR)0.8492668485

Descriptive statistics

Standard deviation0.7544544247
Coefficient of variation (CV)-2.296636772
Kurtosis0.4431789526
Mean-0.3285040255
Median Absolute Deviation (MAD)0.4117439087
Skewness0.6462576189
Sum-5.256064409
Variance0.569201479
MonotonicityNot monotonic
2025-03-30T10:57:09.283412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.4197532816 1
 
6.2%
-0.7116665396 1
 
6.2%
-0.5497557299 1
 
6.2%
-0.05258168217 1
 
6.2%
-0.097435876 1
 
6.2%
-0.1796357015 1
 
6.2%
-1.025159565 1
 
6.2%
-1.089956026 1
 
6.2%
0.5827655309 1
 
6.2%
1.402403542 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.585585882 1
6.2%
-1.089956026 1
6.2%
-1.025159565 1
6.2%
-0.8760694995 1
6.2%
-0.7669651172 1
6.2%
ValueCountFrequency (%)
1.402403542 1
6.2%
0.5827655309 1
6.2%
0.4344706 1
6.2%
0.3778475896 1
6.2%
-0.05258168217 1
6.2%

debt_ebitda
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6006810662
Minimum-1.520371032
Maximum2.291805578
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)25.0%
Memory size256.0 B
2025-03-30T10:57:09.756420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.520371032
5-th percentile-0.9170230872
Q10.02925058447
median0.8312972423
Q31.24257578
95-th percentile1.846293287
Maximum2.291805578
Range3.81217661
Interquartile range (IQR)1.213325195

Descriptive statistics

Standard deviation1.018320202
Coefficient of variation (CV)1.695276012
Kurtosis-0.2830390131
Mean0.6006810662
Median Absolute Deviation (MAD)0.6527922745
Skewness-0.4664964993
Sum9.610897059
Variance1.036976034
MonotonicityNot monotonic
2025-03-30T10:57:10.213742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.238007968 1
 
6.2%
-0.4069504158 1
 
6.2%
0.4298950347 1
 
6.2%
1.697789191 1
 
6.2%
0.1746509179 1
 
6.2%
1.256279216 1
 
6.2%
1.096433128 1
 
6.2%
0.5661613562 1
 
6.2%
0.1823590177 1
 
6.2%
1.140944532 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.520371032 1
6.2%
-0.7159071055 1
6.2%
-0.530321252 1
6.2%
-0.4069504158 1
6.2%
0.1746509179 1
6.2%
ValueCountFrequency (%)
2.291805578 1
6.2%
1.697789191 1
6.2%
1.536248226 1
6.2%
1.256279216 1
6.2%
1.238007968 1
6.2%

lt_debt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1254055173
Minimum-2.003579875
Maximum2.33477952
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:57:10.663924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.003579875
5-th percentile-1.322342056
Q1-0.670911252
median0.09522175771
Q30.5268788551
95-th percentile2.117419289
Maximum2.33477952
Range4.338359395
Interquartile range (IQR)1.197790107

Descriptive statistics

Standard deviation1.186719752
Coefficient of variation (CV)9.463058546
Kurtosis-0.137602641
Mean0.1254055173
Median Absolute Deviation (MAD)0.684639543
Skewness0.3907616367
Sum2.006488277
Variance1.40830377
MonotonicityNot monotonic
2025-03-30T10:57:11.080627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.9304879345 1
 
6.2%
-2.003579875 1
 
6.2%
-1.095262784 1
 
6.2%
0.4869249472 1
 
6.2%
1.814839918 1
 
6.2%
0.124634202 1
 
6.2%
0.6467405787 1
 
6.2%
-0.6116845805 1
 
6.2%
-0.8485912663 1
 
6.2%
-0.5671509901 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.003579875 1
6.2%
-1.095262784 1
6.2%
-0.9304879345 1
6.2%
-0.8485912663 1
6.2%
-0.6116845805 1
6.2%
ValueCountFrequency (%)
2.33477952 1
6.2%
2.044965879 1
6.2%
1.814839918 1
6.2%
0.6467405787 1
6.2%
0.4869249472 1
6.2%

cash_debt
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2735069821
Minimum-2.081664529
Maximum1.407412918
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:57:11.517159image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.081664529
5-th percentile-1.818655717
Q1-1.327422375
median-0.1497425282
Q30.7960034773
95-th percentile1.202388425
Maximum1.407412918
Range3.489077447
Interquartile range (IQR)2.123425852

Descriptive statistics

Standard deviation1.165833288
Coefficient of variation (CV)-4.262535748
Kurtosis-1.580812329
Mean-0.2735069821
Median Absolute Deviation (MAD)1.110097179
Skewness-0.05495430452
Sum-4.376111713
Variance1.359167256
MonotonicityNot monotonic
2025-03-30T10:57:11.987308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.119946862 1
 
6.2%
0.06716899623 1
 
6.2%
-1.730986113 1
 
6.2%
0.9311322271 1
 
6.2%
1.407412918 1
 
6.2%
-0.8829839815 1
 
6.2%
0.7509605607 1
 
6.2%
-1.504033365 1
 
6.2%
-2.081664529 1
 
6.2%
-0.3666540527 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.081664529 1
6.2%
-1.730986113 1
6.2%
-1.504033365 1
6.2%
-1.442503104 1
6.2%
-1.289062132 1
6.2%
ValueCountFrequency (%)
1.407412918 1
6.2%
1.134046928 1
6.2%
1.003635643 1
6.2%
0.9311322271 1
6.2%
0.7509605607 1
6.2%

lt_ppent
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09053249201
Minimum-1.501106992
Maximum2.086421715
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:57:12.428783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.501106992
5-th percentile-1.198321308
Q1-0.6125276619
median-0.2328624737
Q30.1359549821
95-th percentile1.776988624
Maximum2.086421715
Range3.587528707
Interquartile range (IQR)0.7484826441

Descriptive statistics

Standard deviation0.9178613788
Coefficient of variation (CV)-10.13847469
Kurtosis1.578213057
Mean-0.09053249201
Median Absolute Deviation (MAD)0.4000193967
Skewness1.128655835
Sum-1.448519872
Variance0.8424695107
MonotonicityNot monotonic
2025-03-30T10:57:12.923994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.7742219422 1
 
6.2%
0.4509291195 1
 
6.2%
-0.3167143311 1
 
6.2%
1.67384426 1
 
6.2%
0.2379648919 1
 
6.2%
-0.1490106163 1
 
6.2%
-1.097392747 1
 
6.2%
0.03044155943 1
 
6.2%
-0.1021115671 1
 
6.2%
-0.6735902874 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.501106992 1
6.2%
-1.097392747 1
6.2%
-0.7742219422 1
6.2%
-0.6735902874 1
6.2%
-0.5921734534 1
6.2%
ValueCountFrequency (%)
2.086421715 1
6.2%
1.67384426 1
6.2%
0.4509291195 1
6.2%
0.2379648919 1
6.2%
0.1019516789 1
6.2%

dltt_be
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09261255628
Minimum-1.086718563
Maximum1.446134637
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:57:13.403475image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.086718563
5-th percentile-1.080478027
Q1-0.2827678855
median0.2189820825
Q30.4849358528
95-th percentile1.169654122
Maximum1.446134637
Range2.5328532
Interquartile range (IQR)0.7677037383

Descriptive statistics

Standard deviation0.7584703294
Coefficient of variation (CV)8.189713791
Kurtosis-0.5461425947
Mean0.09261255628
Median Absolute Deviation (MAD)0.337604788
Skewness-0.2141624459
Sum1.481800901
Variance0.5752772406
MonotonicityNot monotonic
2025-03-30T10:57:13.892862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.078397849 1
 
6.2%
0.4718243727 1
 
6.2%
0.09511577298 1
 
6.2%
-0.1580965024 1
 
6.2%
-1.059323995 1
 
6.2%
0.7841802104 1
 
6.2%
1.446134637 1
 
6.2%
0.3428483921 1
 
6.2%
-0.01074733669 1
 
6.2%
-1.086718563 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.086718563 1
6.2%
-1.078397849 1
6.2%
-1.059323995 1
6.2%
-0.6567820348 1
6.2%
-0.1580965024 1
6.2%
ValueCountFrequency (%)
1.446134637 1
6.2%
1.07749395 1
6.2%
0.7841802104 1
6.2%
0.5171130737 1
6.2%
0.4742101125 1
6.2%

debt_assets
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01527679034
Minimum-1.674702887
Maximum1.011545361
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)37.5%
Memory size256.0 B
2025-03-30T10:57:14.356492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.674702887
5-th percentile-1.383266593
Q1-0.6744437037
median0.1245899613
Q30.6202185061
95-th percentile0.9103079263
Maximum1.011545361
Range2.686248248
Interquartile range (IQR)1.29466221

Descriptive statistics

Standard deviation0.7977193853
Coefficient of variation (CV)-52.21773471
Kurtosis-0.3957742616
Mean-0.01527679034
Median Absolute Deviation (MAD)0.5416883745
Skewness-0.7119056319
Sum-0.2444286455
Variance0.6363562176
MonotonicityNot monotonic
2025-03-30T10:57:14.846749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.286121162 1
 
6.2%
0.6095924562 1
 
6.2%
-0.06704919283 1
 
6.2%
0.1077601741 1
 
6.2%
0.1414197486 1
 
6.2%
0.6197413875 1
 
6.2%
0.2134439989 1
 
6.2%
-0.7562866495 1
 
6.2%
-1.674702887 1
 
6.2%
0.7109068098 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.674702887 1
6.2%
-1.286121162 1
6.2%
-0.7600037772 1
6.2%
-0.7562866495 1
6.2%
-0.6471627217 1
6.2%
ValueCountFrequency (%)
1.011545361 1
6.2%
0.8765621148 1
6.2%
0.7109068098 1
6.2%
0.6216498619 1
6.2%
0.6197413875 1
6.2%

debt_capital
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3211762895
Minimum-1.639287738
Maximum1.636484186
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)68.8%
Memory size256.0 B
2025-03-30T10:57:15.275933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.639287738
5-th percentile-1.56458631
Q1-0.995166883
median-0.7146575774
Q30.3840559709
95-th percentile1.542881049
Maximum1.636484186
Range3.275771923
Interquartile range (IQR)1.379222854

Descriptive statistics

Standard deviation1.046766671
Coefficient of variation (CV)-3.259165466
Kurtosis-0.7010525354
Mean-0.3211762895
Median Absolute Deviation (MAD)0.7086479596
Skewness0.6139669667
Sum-5.138820632
Variance1.095720464
MonotonicityNot monotonic
2025-03-30T10:57:15.724629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.206625077 1
 
6.2%
-0.02112425014 1
 
6.2%
1.511680004 1
 
6.2%
-1.639287738 1
 
6.2%
-0.9187754902 1
 
6.2%
0.5999822026 1
 
6.2%
-0.832312664 1
 
6.2%
-0.9246808184 1
 
6.2%
0.7997526057 1
 
6.2%
-1.539685834 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.639287738 1
6.2%
-1.539685834 1
6.2%
-1.438420169 1
6.2%
-1.206625077 1
6.2%
-0.9246808184 1
6.2%
ValueCountFrequency (%)
1.636484186 1
6.2%
1.511680004 1
6.2%
0.7997526057 1
6.2%
0.5999822026 1
6.2%
0.3120805603 1
6.2%

de_ratio
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02585091355
Minimum-1.75993081
Maximum1.920351402
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:57:16.201112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.75993081
5-th percentile-1.013849793
Q1-0.5129721209
median-0.02676759941
Q30.3116632018
95-th percentile1.34411584
Maximum1.920351402
Range3.680282213
Interquartile range (IQR)0.8246353226

Descriptive statistics

Standard deviation0.8481387313
Coefficient of variation (CV)-32.80884947
Kurtosis1.339711404
Mean-0.02585091355
Median Absolute Deviation (MAD)0.4749495483
Skewness0.406048687
Sum-0.4136146168
Variance0.7193393076
MonotonicityNot monotonic
2025-03-30T10:57:16.686726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.5137489736 1
 
6.2%
1.152037319 1
 
6.2%
0.1499548876 1
 
6.2%
-0.7651561203 1
 
6.2%
0.2937609176 1
 
6.2%
-0.03848132781 1
 
6.2%
0.3653700544 1
 
6.2%
0.6899937227 1
 
6.2%
-0.4714858328 1
 
6.2%
-1.75993081 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.75993081 1
6.2%
-0.7651561203 1
6.2%
-0.5998896018 1
6.2%
-0.5137489736 1
6.2%
-0.51271317 1
6.2%
ValueCountFrequency (%)
1.920351402 1
6.2%
1.152037319 1
6.2%
0.6899937227 1
6.2%
0.3653700544 1
6.2%
0.2937609176 1
6.2%

at_turn
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1427774086
Minimum-1.207227906
Maximum1.213075237
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:57:17.164824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.207227906
5-th percentile-0.9551122297
Q1-0.5397062044
median0.07627496405
Q30.8430408267
95-th percentile1.150621059
Maximum1.213075237
Range2.420303143
Interquartile range (IQR)1.382747031

Descriptive statistics

Standard deviation0.7857659769
Coefficient of variation (CV)5.503433523
Kurtosis-1.392671888
Mean0.1427774086
Median Absolute Deviation (MAD)0.6960637023
Skewness-0.1302895987
Sum2.284438538
Variance0.6174281705
MonotonicityNot monotonic
2025-03-30T10:57:17.594760image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.7957009124 1
 
6.2%
0.5401597089 1
 
6.2%
-0.06417904037 1
 
6.2%
1.129803 1
 
6.2%
-0.5359382468 1
 
6.2%
1.213075237 1
 
6.2%
0.06397831028 1
 
6.2%
-0.5510100773 1
 
6.2%
-0.8710736709 1
 
6.2%
-0.5964264922 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.207227906 1
6.2%
-0.8710736709 1
6.2%
-0.5964264922 1
6.2%
-0.5510100773 1
6.2%
-0.5359382468 1
6.2%
ValueCountFrequency (%)
1.213075237 1
6.2%
1.129803 1
6.2%
1.031782026 1
6.2%
0.8755845824 1
6.2%
0.8321929081 1
6.2%

rect_turn
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0867324662
Minimum-1.918080665
Maximum1.737672383
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)56.2%
Memory size256.0 B
2025-03-30T10:57:18.018873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.918080665
5-th percentile-1.48538995
Q1-0.5744799335
median-0.2229208765
Q30.3180728037
95-th percentile1.552040914
Maximum1.737672383
Range3.655753048
Interquartile range (IQR)0.8925527371

Descriptive statistics

Standard deviation0.9905265263
Coefficient of variation (CV)-11.42048151
Kurtosis-0.1030883936
Mean-0.0867324662
Median Absolute Deviation (MAD)0.42682507
Skewness0.1511745938
Sum-1.387719459
Variance0.9811427993
MonotonicityNot monotonic
2025-03-30T10:57:18.525852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.116367265 1
 
6.2%
-0.6520578137 1
 
6.2%
-1.918080665 1
 
6.2%
-0.2605998286 1
 
6.2%
1.737672383 1
 
6.2%
1.490163757 1
 
6.2%
-1.341159712 1
 
6.2%
1.03736724 1
 
6.2%
-0.2154729358 1
 
6.2%
-0.3229332746 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.918080665 1
6.2%
-1.341159712 1
6.2%
-1.24002123 1
6.2%
-0.6520578137 1
6.2%
-0.5486206401 1
6.2%
ValueCountFrequency (%)
1.737672383 1
6.2%
1.490163757 1
6.2%
1.03736724 1
6.2%
0.6675142354 1
6.2%
0.2015923264 1
6.2%

pay_turn
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2052553654
Minimum-1.434097326
Maximum2.319007934
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:57:18.961546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.434097326
5-th percentile-1.161828487
Q1-0.4139780137
median0.09148613529
Q30.6618953754
95-th percentile1.835447773
Maximum2.319007934
Range3.75310526
Interquartile range (IQR)1.075873389

Descriptive statistics

Standard deviation1.017807859
Coefficient of variation (CV)4.958739357
Kurtosis-0.1224416948
Mean0.2052553654
Median Absolute Deviation (MAD)0.5916402497
Skewness0.494467857
Sum3.284085846
Variance1.035932837
MonotonicityNot monotonic
2025-03-30T10:57:19.411335image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.1254659785 1
 
6.2%
-1.434097326 1
 
6.2%
0.1617802447 1
 
6.2%
0.05750629212 1
 
6.2%
-0.3341434961 1
 
6.2%
2.319007934 1
 
6.2%
1.058184702 1
 
6.2%
0.5297989332 1
 
6.2%
-1.071072207 1
 
6.2%
-0.2894338465 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.434097326 1
6.2%
-1.071072207 1
6.2%
-0.7254527667 1
6.2%
-0.6534815662 1
6.2%
-0.3341434961 1
6.2%
ValueCountFrequency (%)
2.319007934 1
6.2%
1.674261052 1
6.2%
1.415430855 1
6.2%
1.058184702 1
6.2%
0.5297989332 1
6.2%

sale_invcap
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01403415397
Minimum-1.661877514
Maximum2.129481628
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:57:19.863277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.661877514
5-th percentile-1.576077748
Q1-0.418448567
median-0.0478606765
Q30.3515277535
95-th percentile1.702563009
Maximum2.129481628
Range3.791359142
Interquartile range (IQR)0.7699763206

Descriptive statistics

Standard deviation0.9677345929
Coefficient of variation (CV)68.95567732
Kurtosis0.8552654999
Mean0.01403415397
Median Absolute Deviation (MAD)0.4278568869
Skewness0.3832284501
Sum0.2245464636
Variance0.9365102423
MonotonicityNot monotonic
2025-03-30T10:57:20.330865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.560256802 1
 
6.2%
0.4369331241 1
 
6.2%
-0.243873117 1
 
6.2%
-1.661877514 1
 
6.2%
0.2549070295 1
 
6.2%
2.129481628 1
 
6.2%
-0.1692267605 1
 
6.2%
-0.6317192943 1
 
6.2%
0.1933552237 1
 
6.2%
-0.5537416231 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.661877514 1
6.2%
-1.547477826 1
6.2%
-0.6317192943 1
6.2%
-0.5537416231 1
6.2%
-0.3733508816 1
6.2%
ValueCountFrequency (%)
2.129481628 1
6.2%
1.560256802 1
6.2%
0.7144632 1
6.2%
0.4369331241 1
6.2%
0.3230592967 1
6.2%

sale_equity
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001047073278
Minimum-2.182975286
Maximum2.090343649
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)62.5%
Memory size256.0 B
2025-03-30T10:57:20.829115image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.182975286
5-th percentile-1.322876123
Q1-0.6114373128
median-0.1201283219
Q30.7074670442
95-th percentile1.44381141
Maximum2.090343649
Range4.273318935
Interquartile range (IQR)1.318904357

Descriptive statistics

Standard deviation1.04291315
Coefficient of variation (CV)-996.0268983
Kurtosis0.3865098734
Mean-0.001047073278
Median Absolute Deviation (MAD)0.6942673408
Skewness0.01804307544
Sum-0.01675317245
Variance1.087667837
MonotonicityNot monotonic
2025-03-30T10:57:21.267256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-0.9362444091 1
 
6.2%
2.090343649 1
 
6.2%
1.228300664 1
 
6.2%
0.6243538498 1
 
6.2%
-0.1962349086 1
 
6.2%
-0.1863842647 1
 
6.2%
-0.05387237919 1
 
6.2%
-0.01899886728 1
 
6.2%
-1.036176402 1
 
6.2%
-0.442288678 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.182975286 1
6.2%
-1.036176402 1
6.2%
-0.9362444091 1
6.2%
-0.7641808317 1
6.2%
-0.5605228065 1
6.2%
ValueCountFrequency (%)
2.090343649 1
6.2%
1.228300664 1
6.2%
1.02887674 1
6.2%
0.9568066275 1
6.2%
0.6243538498 1
6.2%

rd_sale
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1713638939
Minimum-1.116148354
Maximum2.080314258
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:57:21.700517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.116148354
5-th percentile-1.109178256
Q1-0.3879465359
median0.01103656012
Q30.6840461888
95-th percentile1.65385163
Maximum2.080314258
Range3.196462612
Interquartile range (IQR)1.071992725

Descriptive statistics

Standard deviation0.9191094211
Coefficient of variation (CV)5.363495191
Kurtosis-0.2952597838
Mean0.1713638939
Median Absolute Deviation (MAD)0.6652391533
Skewness0.4997088888
Sum2.741822303
Variance0.844762128
MonotonicityNot monotonic
2025-03-30T10:57:22.143280image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.5781997332 1
 
6.2%
-0.6572812722 1
 
6.2%
0.3636815639 1
 
6.2%
-1.10685489 1
 
6.2%
1.208019438 1
 
6.2%
0.6731970343 1
 
6.2%
-0.030605094 1
 
6.2%
1.511697421 1
 
6.2%
0.7165936522 1
 
6.2%
-0.7063749238 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.116148354 1
6.2%
-1.10685489 1
6.2%
-0.7063749238 1
6.2%
-0.6572812722 1
6.2%
-0.2981682905 1
6.2%
ValueCountFrequency (%)
2.080314258 1
6.2%
1.511697421 1
6.2%
1.208019438 1
6.2%
0.7165936522 1
6.2%
0.6731970343 1
6.2%

adv_sale
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2374592537
Minimum-1.722194924
Maximum2.16646019
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)25.0%
Memory size256.0 B
2025-03-30T10:57:22.599539image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.722194924
5-th percentile-1.377272585
Q10.06360229946
median0.4084007484
Q30.6832433506
95-th percentile1.442417141
Maximum2.16646019
Range3.888655114
Interquartile range (IQR)0.6196410511

Descriptive statistics

Standard deviation0.9667193843
Coefficient of variation (CV)4.071095858
Kurtosis0.7013023303
Mean0.2374592537
Median Absolute Deviation (MAD)0.3124323144
Skewness-0.4153962873
Sum3.79934806
Variance0.934546368
MonotonicityNot monotonic
2025-03-30T10:57:23.071612image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.154929315 1
 
6.2%
0.664937318 1
 
6.2%
0.5921403143 1
 
6.2%
0.9466199491 1
 
6.2%
0.3527412296 1
 
6.2%
0.5081794378 1
 
6.2%
-1.722194924 1
 
6.2%
0.117166219 1
 
6.2%
0.1594193814 1
 
6.2%
2.16646019 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-1.722194924 1
6.2%
-1.262298472 1
6.2%
-1.154929315 1
6.2%
-0.08548126105 1
6.2%
0.1132968196 1
6.2%
ValueCountFrequency (%)
2.16646019 1
6.2%
1.201069458 1
6.2%
0.9466199491 1
6.2%
0.7381614484 1
6.2%
0.664937318 1
6.2%

staff_sale
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2611645467
Minimum-2.290096862
Maximum1.565425664
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)50.0%
Memory size256.0 B
2025-03-30T10:57:23.542712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.290096862
5-th percentile-1.835091448
Q1-1.006634662
median-0.1592516047
Q30.4533529759
95-th percentile1.131684565
Maximum1.565425664
Range3.855522525
Interquartile range (IQR)1.459987638

Descriptive statistics

Standard deviation1.066044908
Coefficient of variation (CV)-4.081889832
Kurtosis-0.6371271696
Mean-0.2611645467
Median Absolute Deviation (MAD)0.7386477333
Skewness-0.1678355133
Sum-4.178632747
Variance1.136451745
MonotonicityNot monotonic
2025-03-30T10:57:23.993737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.5312775901 1
 
6.2%
0.9639126807 1
 
6.2%
-0.7321474901 1
 
6.2%
-2.290096862 1
 
6.2%
-0.9460178765 1
 
6.2%
0.2549218153 1
 
6.2%
0.4273781045 1
 
6.2%
-1.188485018 1
 
6.2%
0.2083526722 1
 
6.2%
-0.3931798166 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.290096862 1
6.2%
-1.683422976 1
6.2%
-1.304036021 1
6.2%
-1.188485018 1
6.2%
-0.9460178765 1
6.2%
ValueCountFrequency (%)
1.565425664 1
6.2%
0.9871041984 1
6.2%
0.9639126807 1
6.2%
0.5312775901 1
6.2%
0.4273781045 1
6.2%

accrual
Real number (ℝ)

Unique 

Distinct16
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1808213001
Minimum-2.082179063
Maximum2.113185136
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)43.8%
Memory size256.0 B
2025-03-30T10:57:24.426573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.082179063
5-th percentile-0.7877759495
Q1-0.2244238561
median0.0832946232
Q30.6650207556
95-th percentile1.418200201
Maximum2.113185136
Range4.195364199
Interquartile range (IQR)0.8894446117

Descriptive statistics

Standard deviation0.8914402564
Coefficient of variation (CV)4.929951593
Kurtosis2.867030705
Mean0.1808213001
Median Absolute Deviation (MAD)0.3963696909
Skewness-0.3557976887
Sum2.893140801
Variance0.7946657307
MonotonicityNot monotonic
2025-03-30T10:57:24.850735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.5061492562 1
 
6.2%
0.7212073113 1
 
6.2%
-0.1527501947 1
 
6.2%
0.04786832717 1
 
6.2%
2.113185136 1
 
6.2%
-0.2183700802 1
 
6.2%
-0.2865901256 1
 
6.2%
1.186538556 1
 
6.2%
-2.082179063 1
 
6.2%
-0.356308245 1
 
6.2%
Other values (6) 6
37.5%
ValueCountFrequency (%)
-2.082179063 1
6.2%
-0.356308245 1
6.2%
-0.2865901256 1
6.2%
-0.242585184 1
6.2%
-0.2183700802 1
6.2%
ValueCountFrequency (%)
2.113185136 1
6.2%
1.186538556 1
6.2%
0.7844695175 1
6.2%
0.7212073113 1
6.2%
0.6462919037 1
6.2%
Distinct4
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size256.0 B
2025-03-30T10:57:25.434989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length116
Median length101
Mean length100.25
Min length83

Characters and Unicode

Total characters1604
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowThe company reported a steady increase in revenue, reflecting strong market demand.
2nd rowThe outlook remains positive, with expected growth in both domestic and international markets.
3rd rowDespite market volatility, the firm's financial position is strong, with solid liquidity and manageable debt levels.
4th rowThe company reported a steady increase in revenue, reflecting strong market demand.
5th rowThe outlook remains positive, with expected growth in both domestic and international markets.
ValueCountFrequency (%)
the 12
 
5.4%
and 12
 
5.4%
market 8
 
3.6%
in 8
 
3.6%
with 8
 
3.6%
strong 8
 
3.6%
reported 4
 
1.8%
a 4
 
1.8%
revenue 4
 
1.8%
increase 4
 
1.8%
Other values (38) 152
67.9%
2025-03-30T10:57:26.483009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
13.0%
e 168
 
10.5%
i 132
 
8.2%
t 128
 
8.0%
n 108
 
6.7%
a 104
 
6.5%
r 92
 
5.7%
s 88
 
5.5%
o 84
 
5.2%
d 60
 
3.7%
Other values (21) 432
26.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1604
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
208
13.0%
e 168
 
10.5%
i 132
 
8.2%
t 128
 
8.0%
n 108
 
6.7%
a 104
 
6.5%
r 92
 
5.7%
s 88
 
5.5%
o 84
 
5.2%
d 60
 
3.7%
Other values (21) 432
26.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1604
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
208
13.0%
e 168
 
10.5%
i 132
 
8.2%
t 128
 
8.0%
n 108
 
6.7%
a 104
 
6.5%
r 92
 
5.7%
s 88
 
5.5%
o 84
 
5.2%
d 60
 
3.7%
Other values (21) 432
26.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1604
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
208
13.0%
e 168
 
10.5%
i 132
 
8.2%
t 128
 
8.0%
n 108
 
6.7%
a 104
 
6.5%
r 92
 
5.7%
s 88
 
5.5%
o 84
 
5.2%
d 60
 
3.7%
Other values (21) 432
26.9%